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Analysis of damage and energy evolution characteristics of pre-flawed red sandstone based on infrared thermography 认领 引用
1
作者 Lu Chen En Wang +4 位作者 Longfei Chang Mingyuan Zhang Ruifeng Huang Yingjun Li Dejian Li 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第7期387-405,共19页
The unstable extension of rock fractures is the fundamental cause of danger to the safety of underground engineering.Clarifying the damage and fracture characteristics of rocks under loading is the basis for ensuring ... The unstable extension of rock fractures is the fundamental cause of danger to the safety of underground engineering.Clarifying the damage and fracture characteristics of rocks under loading is the basis for ensuring the safety of geological engineering.In this paper,an infrared thermography,and acoustic emission(AE)system were used to monitor the damage evolution of red sandstone containing different pre-flawed under uniaxial loading.The mechanical,infrared radiation and AE characteristics of representative specimens containing pre-flawed were investigated.The results show that the crack extension process and failure modes are affected by the different pre-flawed inclinations of the specimens.With the increasing inclination angles,the failure modes of the red sandstones change from axial splitting to tensile-shear conformal damage mode.In addition,the absolute deviation matrix of infrared radiation temperature was proposed,which not only reflects the damage and crack extension process of the specimens but also has an early warning of specimen failure consistent with the AE characteristics.Moreover,the constitutive model of rocks containing pre-flawed under the uniaxial loading was established by combining with cluster analysis,and compared to the experimental results.It is found that the two results have consistency at the peak stresses,while the model stresses of infrared radiation were higher than the test stresses in the initial compaction stage and microcrack extension stage.Furthermore,the rock energy release rate and energy dissipated rate based on infrared radiation were proposed to illustrate the relative intensity of rock energy accumulation and dissipation,which can characterize the rock damage intensity.The research results can provide theoretical and experimental references for real-time,nondestructive,and green monitoring of geoengineering problems using infrared thermography. 展开更多
关键词 Infrared radiation Absolute deviation matrix of infrared radiation temperature Cluster analysis Infrared damage variable Acoustic emission(AE)
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Image processing based infrared precursor recognition for NPR cable anchored rock with inclination angles 认领 引用
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作者 Jiong Wang Yiwen Chang Manchao He 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第6期4503-4525,共23页
Recognizing rock fracture precursors is critical for ensuring the safe and stable operation of deep underground engineering.The paper investigates the fracture mechanisms of Negative Poisson's Ratio material(NPR)a... Recognizing rock fracture precursors is critical for ensuring the safe and stable operation of deep underground engineering.The paper investigates the fracture mechanisms of Negative Poisson's Ratio material(NPR)and Poisson's Ratio material(PR)material anchored composite rock specimens(NCR&PCR)with different inclination angles in uniaxial compression test(UCT),monitored with acoustic emission(AE)and infrared(IR)thermography.A new index,Enhanced Infrared Matrix of Damage(EIMD),is defined by processing the noise-suppressed IR temperature matrices with Otsu thresholding,which highlights thermal anomalies associated with crack initiation and growth.On this basis,the correlative index Damage Infrared Energy Response(DIER)is further proposed,serving as a robust indicator of crack-induced radiative energy release.Based on these IR parameters,the integrated isolation forest model is constructed to identify anomaly points during damage evolution,enabling early failure prediction.Experimental results show that NCR exhibits 3.06%–6.2%higher peak strength than PCR across inclination angles of 15°–45°,and NCR-30°/45°retains residual load-bearing capacity through stress curve rebound.AE analyses reveal that PCR undergoes multiple sharp b-value drops in Stage Ⅲ,with an increasing inclination,whereas NCR maintains a rising b-value and a moderate Low Frequency(LF)ratio,reflecting an enhanced crack resistance ability.EIMD and DIER provide a reliable framework for quantifying rock damage,with anomalies in isolation forest prediction characterized by distinct DIER–EIMD patterns and crack morphologies.The integrated prediction model achieves early warning within 13–51 s(89%–99%peak stress(σpeak)),with NCR anomalies detected 6–10 s earlier than PCR,demonstrating the stabilizing role of NPR cables in delaying infrared precursors and restraining large-scale crack propagation.This study provides researchers with a new infrared thermography-based perspective for identifying precursors of rock fracture,offering a useful reference for future investigations on predicting the UCT failure behavior of anchored rocks.It also establishes an experimental and theoretical foundation for understanding the mechanical response and failure prediction of anchored composite roof strata in engineering applications. 展开更多
关键词 Rock fracture precursor Rock damage Image processing Infrared radiation(IR) Acoustic emission(AE) NPR cable Enhanced infrared matrix of damage(EIMD) Damage infrared energy response(DIER)
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Bionic femtosecond laser manufacturing for impressionistic camouflage infrared display 认领 引用 被引量：2
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作者 Jianing Liao Zhuguo Li Dongshi Zhang 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第1期627-653,共27页
White Cyphochilus insulanus beetles,exhibiting both environmental camouflage display and radiative cooling functions,serve as a good prototype for biomimetic fabrication.As inspired,this work presents a femtosecond(fs... White Cyphochilus insulanus beetles,exhibiting both environmental camouflage display and radiative cooling functions,serve as a good prototype for biomimetic fabrication.As inspired,this work presents a femtosecond(fs)laser-based biomimetic fabrication strategy that takes full use of the synthesized radiative cooling nanomaterials for a groundbreaking stimuli-responsive infrared(IR)impressionistic camouflage display.The proposed technique is capable of readily transforming various substrates(quartz glass and metals including Ti,Al,Zr,and W)into self-assembled porous networks(aerogels)consisting of oxygen-vacancy-rich oxide nanoparticles.Surprisingly,the emissions of all as-prepared porous particle-networks in the radiative-cooling long-wavelength infrared(LWIR)band are above 95%,with the SiO2 aerogels reaching a maximum of 99.6%.Benefiting from the far-from-equilibrium thermodynamic kinetics,metastable phases of anatase TiO2,tetragonal zirconia(t-ZrO2),and monoclinic WO3(Pc)are synthesizable,opening up opportunities for exploring their optical applications.Taking the low-temperature metastable phase WO3(Pc)as representative for systematic studies,it is found that(1)the ratio WO3(Pc)phase to that of room-temperature phase of WO3(P21)can be tailored by modulation of processing parameters;(2)laser synthesized aerogels with hybrid phases of WO3(Pc)and WO3(P21)have a brighter visible whiteness,higher visibleearinfrared(NIR)spectral selectivity than the natural prototype of white Cyphochilus insulanus beetles but with comparable LWIR emittance.White WO3 aerogel in situ deposited during flexibly fs laser artistic patterning can blur the painting features due to its radiative cooling effect,allowing a colorful impressionistic IR display in the heating mode.What's more,invisible painting features concealed by the white deposited WO3 aerogel are clearly/faintly distinguishable by introducing external stimuli of a human hand and sample heating,respectively,catalyzing progress in optical encryption and selectively stimuli-responsive decryption display in the infrared band. 展开更多
关键词 femtosecond laser bionic manufacturing metastable phase impressionistic infrared display infrared camouflage
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Scalable fabrication of mid-wavelength and long-wavelength infrared photodetectors based on narrow bandgap semiconductors:challenges and opportunities 认领 引用
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作者 Jong Hun Moon Sanghyun Nam +3 位作者 Sion Kim Jiajia Zha Chaoliang Tan Hyungjin Kim 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第1期424-467,共44页
Mid-wavelength infrared(MWIR)and long-wavelength infrared(LWIR)detectors,which operate within the 3-14µm wavelength range,have been extensively employed in various fields,including military,space exploration,envi... Mid-wavelength infrared(MWIR)and long-wavelength infrared(LWIR)detectors,which operate within the 3-14µm wavelength range,have been extensively employed in various fields,including military,space exploration,environmental monitoring,biomedicine,and chemical analysis.While thermal detectors are commonly used,their limitations in sensitivity and response time render them less suitable for next-generation MWIR and LWIR applications.These advanced applications necessitate the use of narrow bandgap semiconductor-based photodetectors,which offer tunable optoelectronic properties and higher specific detectivity compared to thermal detectors.In this review,we provide a detailed analysis of the operational principles and manufacturing strategies of infrared photodetectors based on narrow bandgap semiconductors,which enable high-performance detection in the MWIR and LWIR regions.Our focus is specifically on scalable fabrication of MWIR and LWIR photodetectors,emphasizing devices with active areas ranging from millimeters to centimeters.Researches on large-scale fabrication of infrared photodetectors using quantum dots,two-dimensional(2D)van der Waals(vdW)materials,and three-dimensional(3D)bulk semiconductors are investigated.Finally,we summarize the remaining challenges in developing scalable narrow bandgap semiconductor-based MWIR and LWIR photodetectors for commercialization.By addressing the obstacles such as the difficulty in large-scale unform film synthesis,the requirement for cryogenic device operation,and the introduction of high-density of defect states during the hybridization processes,MWIR and LWIR photodetectors based on narrow bandgap semiconductors will pave the way for designing new sensory systems and applications in a wavelength regime that has been less developed compared to the visible and near-infrared(NIR)ranges. 展开更多
关键词 photodetectors mid-wavelength infrared long-wavelength infrared photoconductive photovoltaic barrier-type
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TransFM:Visible-to-Infrared Image Translation via Flow Matching 认领 引用
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作者 Meiqi Gong Hao Zhang +1 位作者 Bingwei Hui Jiayi Ma 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第5期1239-1241,共3页
Dear Editor,Due to the scarcity of high-quality infrared data,translating visible images to infrared has become a practical solution to meet the growing demand for infrared images in low-light and adverse conditions.D... Dear Editor,Due to the scarcity of high-quality infrared data,translating visible images to infrared has become a practical solution to meet the growing demand for infrared images in low-light and adverse conditions.Due to the large modality gap and limited prior information,existing visible-to-infrared(VIS-to-IR)image translation methods often struggle with poor structural preservation,unclear cross-modal correspondence,and loss of thermal details. 展开更多
关键词 visible infrared visible images structural preservation flow matching modality gap cross modal correspondence infrared images thermal details
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Mid-infrared chemical imaging of living cells enabled by plasmonic metasurfaces 认领 引用
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作者 Steven H.Huang Po-Ting Shen +4 位作者 Aditya Mahalanabish Giovanni Sartorello Jenny Li Xuefeng Liu Gennady Shvets 《Advanced Photonics Nexus》 CSCD 2026年第3期148-159,共12页
Mid-infrared(MIR)chemical imaging provides rich chemical information of biological samples in a label-free and nondestructive manner.Yet,its adoption for live-cell analysis is limited by the strong attenuation of MIR ... Mid-infrared(MIR)chemical imaging provides rich chemical information of biological samples in a label-free and nondestructive manner.Yet,its adoption for live-cell analysis is limited by the strong attenuation of MIR light in water,often necessitating cell culture geometries that are incompatible with the prolonged viability of cells.Here,we introduce a new approach to MIR microscopy,where cells are imaged through their localized near-field interaction with a plasmonic metasurface.Chemical contrast of distinct molecular groups provided sub-cellular resolution images of the proteins,lipids,and nucleic acids in the cells that were collected using an inverted MIR microscope.Time-lapse imaging of living cells demonstrated that their behaviors,including motility,viability,and substrate adhesion,can be monitored over extended periods of time using low-power MIR light.The presented approach provides a method for the nonperturbative MIR imaging of living cells,which is well-suited for integration with modern high-throughput screening technologies for the label-free,high-content chemical imaging of living cells. 展开更多
关键词 infrared microscopy vibrational microscopy metasurfaces plasmonics surface-enhanced infrared absorption
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FAMdust:Fast Adaptive Machine-Learning Framework for Global Martian Dust Optical Depth Retrieval-Applied to HOPE/EMIRS Thermal Infrared Observations 认领 引用
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作者 Disong FU Minqiang ZHOU +6 位作者 Minzheng DUAN Xuehua FAN Yiyuan LI Li DONG Juanjuan LIU Hongrong SHI Xiangao XIA 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2026年第7期1499-1505,共7页
Monitoring dust optical depth(DOD)from space is critical to support China’s Tianwen Mars missions.Here,we present FAMdust(Fast Adaptive Machine-learning framework for dust retrieval),a regime-aware machine-learning f... Monitoring dust optical depth(DOD)from space is critical to support China’s Tianwen Mars missions.Here,we present FAMdust(Fast Adaptive Machine-learning framework for dust retrieval),a regime-aware machine-learning framework developed to retrieve Martian DOD from satellite thermal infrared spectra.In the absence of operational Chinese thermal infrared sounders at Mars,FAMdust is applied to observations from the Emirates Mars Infrared Spectrometer(EMIRS)onboard the Hope spacecraft,which has provided global thermal infrared measurements of the Martian atmosphere since 2021.Using EMIRS radiance spectra,FAMdust produces global DOD estimates that show strong agreement with the Montabone gridded dust dataset and independent ground-based observations from the Mars Science Laboratory(MSL)Mastcam.On an independent test set,the retrieval achieves a coefficient of determination of R2=0.96,with 96.60%of retrievals falling within the expected error envelope of±(0.05+0.15×DOD).Global DOD maps derived from EMIRS successfully capture major dust structures and regional enhancements while maintaining consistency at key landing sites.Time series comparisons with Mastcam observations demonstrate strong temporal correlation(R=0.86)and low mean bias error(MBE=0.08)across Martian Years 36–37.Relative to current products,the FAMdustderived DOD exhibits improved temporal continuity and extends global dust monitoring into MY37.These results demonstrate the capability of FAMdust to provide fast,quantitative,and globally consistent DOD retrievals and highlight its adaptability to future Mars orbiters equipped with similar infrared sensing capabilities. 展开更多
关键词 Martian dust optical depth(DOD) thermal infrared remote sensing machine learning retrieval Emirates Mars Infrared Spectrometer(EMIRS)
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Pedestrian detection of infrared images based on an improved FCOS algorithm 认领 引用
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作者 Fuzhen ZHU Hao HAN +1 位作者 Hengfei JIA Bing ZHU 《Optoelectronics Letters》 EI 2026年第2期105-110,共6页
The current infrared image pedestrian detectors have problems with high rates of false positives and false negatives. To solve these problems, we proposed an improved anchor-free fully convolutional one-stage object d... The current infrared image pedestrian detectors have problems with high rates of false positives and false negatives. To solve these problems, we proposed an improved anchor-free fully convolutional one-stage object detection(FCOS) algorithm. Firstly, we introduced the channel attention module squeeze excitation(SE)-Block in the FCOS backbone network, which was used to learn how to model the relative importance between different feature channels, and to achieve the weight recalibration of the features extracted from the convolution neural network, and improve the weight values that are more important for pedestrian target detection. Secondly, soft non-maximum suppression(Soft-NMS) replaced the conventional NMS within the algorithm's post-processing phase, which was used to reduce the probability of missed detection for occluded pedestrians. The experimental results show that our improved FCOS algorithm improves the average precision(AP) by 6.71% on the original dataset and 7.97% on the augmented KAIST pedestrian dataset compared with the original FCOS algorithm. Our improvements effectively meet the real-time requirements and there is no significant decrease in speed compared with the original FCOS algorithm, and decreased the false positives and false negatives for infrared image pedestrian detection. 展开更多
关键词 weight recalibration pedestrian detection infrared image pedestrian detectors channel attention module learn how model relative importance different feature channels improved FCOS algorithm infrared images Squeeze Excitation SE block
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High-efficiency infrared upconversion imaging with nonlinear silicon metasurfaces empowered by quasi-bound states in the continuum 认领 引用 被引量：1
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作者 Tingting Liu Jumin Qiu +6 位作者 Meibao Qin Xu Tu Huifu Qiu Feng Wu Tianbao Yu Qiegen Liu Shuyuan Xiao 《Opto-Electronic Advances》 SCIE EI CAS CSCD 2026年第4期75-85,共11页
Infrared imaging is indispensable for its ability to penetrate obscurants and visualize thermal signatures,yet its practical use is hindered by the intrinsic limitations of conventional detectors.Nonlinear upconversio... Infrared imaging is indispensable for its ability to penetrate obscurants and visualize thermal signatures,yet its practical use is hindered by the intrinsic limitations of conventional detectors.Nonlinear upconversion,which converts infrared light into the visible band,offers a promising pathway to address these challenges.Here,we demonstrate high-efficiency infrared upconversion imaging using nonlinear silicon metasurfaces.By strategically breaking in-plane symmetry,the metasurface supports a high-Q quasi-bound states in the continuum resonance,leading to strongly enhanced third-harmonic generation(THG)with a conversion efficiency of 3×10-5 at a pump intensity of 10 GW/cm2.Through this THG process,the metasurface enables high-fidelity upconversion of arbitrary infrared images into the visible range,achieving a spatial resolution of~6μm as verified using a resolution target and various customized patterns.This work establishes a robust platform for efficient nonlinear conversion and imaging,highlighting the potential of CMOS-compatible silicon metasurfaces for high-performance infrared sensing applications with reduced system complexity. 展开更多
关键词 infrared upconversion imaging nonlinear metasurfaces bound states in the continuum third-harmonic generation
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Spectral-resolved tracking before detection for an infrared dim target with a snapshot spectral ghost imaging camera 认领 引用
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作者 Xiaohan Wan Pengwei Wang +1 位作者 Zhentao Liu Shensheng Han 《Advanced Photonics Nexus》 CSCD 2026年第4期212-222,共11页
Infrared dim target detection and tracking have been applied across diverse fields,including intelligent driving and military technology.However,traditional detection and tracking methods rely primarily on target inte... Infrared dim target detection and tracking have been applied across diverse fields,including intelligent driving and military technology.However,traditional detection and tracking methods rely primarily on target intensity information,making it difficult to fully utilize high-dimensional optical field information such as spatial and spectral data,which ultimately limits further performance enhancements.Spectral imaging,which simultaneously captures both spatial and spectral information of targets,suffers from a reduced detection signal-to-noise ratio(SNR),which hinders the detection of weak and small targets.We propose an infrared dim target detection and tracking method for a snapshot spectral ghost imaging camera.The method leverages the correlation characteristics of spatial intensity fluctuations corresponding to encoded targets to enhance the detection performance for weak and small targets.Furthermore,by employing three-dimensional matched filtering and particle filtering,it exploits prior spectral and spatial information to improve both the detection and tracking performance.Simulations and experiments verified that this method can track the spectrum and trajectory of a target when the detection SNR is as low as 3,and the average error of the tracking trajectory is less than 1 pixel using the continuity prior information of the spectrum and space in the time dimension. 展开更多
关键词 track before detect dim target infrared infrared spectrum ghost imaging
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Low-subrate sparse reconstruction with threshold-adaptive denoising and basis learning for infrared aerial imagery 认领 引用
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作者 Maoji QIU Hao LIU 《Optoelectronics Letters》 EI 2026年第2期98-104,共7页
Due to the property of infrared aerial imagery, the local prior is sufficient especially for low-subrate block compressive sensing(BCS) reconstruction of infrared aerial images, while its complexity is much lower than... Due to the property of infrared aerial imagery, the local prior is sufficient especially for low-subrate block compressive sensing(BCS) reconstruction of infrared aerial images, while its complexity is much lower than nonlocal prior. The typical low-subrates can effectively improve the BCS transmission efficiency and reduce the burden of transmitter hardware. Therefore, this paper proposes a low-subrate sparse reconstruction algorithm with threshold-adaptive denoising and basis learning(TDBL), which adopts both split Bregman iteration(SBI) and adaptive threshold to implement the model-based BCS reconstruction for infrared aerial imagery. The experimental results show that as compared with the state-of-the-art algorithms, the proposed algorithm can obtain better recovery quality and less runtime on both HIT-UAV and M200-XT2 DroneVehicle datasets. the transmission efficiency and reduce the burden of transmitter hardware. The current NSS-guided reconstruction algorithms are trained and tested on natural image datasets by using relatively high subrates(more than 0.1). Due to significant difference in image contrast and pixel distribution between UAV infrared images and natural images, the performance of these algorithms on UAV infrared image datasets may be difficult to meet expectations. In recent years, the improvement of BCS recovery quality is not obvious with very high complexity, where the core step is to build a suitable dictionary, and then solve the associated sparsity of the dictionary. Previous BCS algorithms usually utilize the special iterative shrinkagehresholding(IST)[11] method to solve the l0 minimization problem. For BCS recovery quality and runtime of UAV infrared imagery, split Bregman iteration(SBI)[12] is a competitive mechanism, so we propose the low-subrate sparse reconstruction with threshold-adaptive denoising and basis learning(TDBL) algorithm under various low-subrate cases. By analyzing the UAV infrared imagery, it is concluded that infrared aerial images are usually characterized by large number of pixels on some gray levels with double or triple peaks on the histogram, and contain more low-frequency components on the Fourier magnitude spectrum. By jointly considering both recovery quality and runtime, we solve the above l0 minimization problem of BCS reconstruction by the SBI method, instead of IST. To obtain gains during different reconstruction phases, we design an adaptive threshold ρ which is related to model-based methods, such as K-singular value decomposition(SVD) sparse coding[13] and orthogonal matching pursuit(OMP) noise constraint[14]. According to the characteristics of UAV infrared images, an updating expression of ρ is designed by combining image variance and mean value. 展开更多
关键词 model based compressive sensing split bregman iteration transmitter hardware infrared aerial imagery basis learning infrared aerial images threshold adaptive denoising low subrate sparse reconstruction
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Measurement system calibration and radiation characteristic inversion based on infrared weak and small targets 认领 引用
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作者 LI Wen-Xiong SHEN Jun-Li +3 位作者 LU Zhen-Yu MEN Shu-Dong WU Qing-Wen ZHAO Xiao-Yan 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2026年第2期337-344,共8页
With the widespread application of infrared detection technology in fields such as military reconnaissance,aerospace monitoring,and security early warning,infrared measurement systems play a critical role in infrared ... With the widespread application of infrared detection technology in fields such as military reconnaissance,aerospace monitoring,and security early warning,infrared measurement systems play a critical role in infrared detection.In response to issues such as low calibration efficiency and significant environmental interference in the calibration and radiative property inversion of infrared measurement systems,this paper proposes a calibration and radiative property inversion method based on infrared weak small targets.A small-area blackbody source is used as a controllable radiation source to project infrared targets,and deep learning networks are employed for precise identification and gray-scale extraction of infrared weak small targets.Using this,a calibration model for the measurement system is established.Experimental results show that the method demonstrates good calibration stability within the temperature range of 298-308 K,with the absolute error of radiative property inversion controlled within±2 K and the relative error of inversion temperature≤0.5%.Regression analysis also indicates high temperature inversion accuracy(R2>0.94).Compared to traditional methods,the proposed method balances calibration efficiency and accuracy while extending the ability to invert the temperature field of targets.This research provides an effective solution for rapid calibration and high-precision radiative property analysis of infrared weak small targets. 展开更多
关键词 infrared measurement system calibration inversion small targets
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Enhancing in-situ coal-gangue identification in LTCC mining via secondary surfactant intervention and infrared thermography 认领 引用
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作者 Jinwang Zhang Geng He +3 位作者 Shengli Yang Hongwei Fu Jin Zhao Fengchen Wang 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2026年第6期1249-1274,共26页
Accurate in-situ identification of coal and gangue is critical for intelligent mining,particularly in longwall top coal caving(LTCC)mining,where it enables precise control of the gangue mixed ratio and enhances resour... Accurate in-situ identification of coal and gangue is critical for intelligent mining,particularly in longwall top coal caving(LTCC)mining,where it enables precise control of the gangue mixed ratio and enhances resource recovery.This study introduces a Secondary Intervention strategy to augment the conventional“liquid intervention+infrared detection”approach.Results demonstrate that Secondary Intervention can consistently enhance the thermal contrast between coal and gangue,and the average accuracy of infrared image recognition for coal and gangue increased from 79.14%after the First Intervention to 93.75%after the Secondary Intervention,representing an improvement of 14.61%.Furthermore,the average contact angle difference between coal and gangue expanded from 16.64°after the First Intervention to 33.80°after the Secondary Intervention,an increase of 17.16°.Meanwhile,the area difference between coal and gangue increased by 4.94 times.Moreover,based on comprehensive analysis of the temperature difference,accuracy of morphological identification,as well as the contact angle and area of droplets,the eco-friendly compound surfactant(EFCS)of Soapnut Saponin(SS)+CTAB with a concentration of0.06 wt%demonstrated optimal performance.These findings advance liquid intervention techniques for infrared-based recognition and support the development of greener,more intelligent coal production systems. 展开更多
关键词 Coal-gangue identification Infrared thermography Secondary Intervention Longwall top coal caving(LTCC) Intelligent mining Heat transfer
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Infrared-visible computational sensor with rapid and relaxation photoresponses 认领 引用
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作者 Zhu-An Li Yuekun Yang +10 位作者 Chen Pan Pengfei Wang Wentao Yu Zhoujie Zeng Yuxuan Yuan Yanwei Cui Xingchen Liu Yinzhi Huang Sicheng Chen Bin Cheng Shi-Jun Liang 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第2期1-4,共4页
Conventional machine vision sensors send raw data frame by frame to the backend,generating substantial redundant data movement and causing severe decision latency.This bottleneck becomes much more critical in resource... Conventional machine vision sensors send raw data frame by frame to the backend,generating substantial redundant data movement and causing severe decision latency.This bottleneck becomes much more critical in resource-constrained edges and motion-detection scenarios.Two-dimensional(2D)materials exhibit a range of novel properties in electronic transport,band engineering,and interfacial physics[1-3]. 展开更多
关键词 raw data backend interfacial physics relaxation photoresponse electronic transportband engineeringand rapid photoresponse conventional machine vision sensors infrared visible computational sensor
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Design of LEO-LEO infrared laser occultation system for atmospheric composition detection 认领 引用
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作者 Liu Yun-Meng Huang Shuo +7 位作者 Li Shi-Zhao Guo Hui-Jun Yu Ting Wang Xin Liu Yang Chu Qing Cheng Long Ding Lei 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2026年第3期528-537,共10页
Understanding the distribution characteristics of atmospheric components and parameters at different al⁃titudes plays a crucial role in deeply comprehending climate change and addressing climate issues.To meet the de⁃... Understanding the distribution characteristics of atmospheric components and parameters at different al⁃titudes plays a crucial role in deeply comprehending climate change and addressing climate issues.To meet the de⁃tection requirements for vertical profiles of multiple atmospheric components(H2O,CO2,CH4,N2O,O3,CO)and line-of-sight wind speed,this study designs an LEO-LEO infrared laser occultation(LIO)system.For payload design,the laser transmitter employs broadband frequency-locked laser source technology to generate highly sta⁃ble infrared lasers.The receiver utilizes multi-grating spatial heterodyne spectroscopy(SHS),achieving wide spectral coverage(2-2.5μm)and high spectral resolution(≤0.15 cm-1).For data application and orbit simula⁃tion,an Abel transform-based inversion method is proposed to synchronously retrieve atmospheric composition and parameter profiles in the Upper Troposphere and Lower Stratosphere(UTLS).Additionally,a simulated oc⁃cultation orbit system demonstrates a daily occultation event frequency of up to 61 times,with optimized data ac⁃quisition processes for single events. 展开更多
关键词 photogrammetry and remote sensing LEO-LEO infrared laser occultation atmospheric components and parameters vertical profile spatial heterodyne spectrometer
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Unmanned Aerial Vehicle Target Detection Method Based on Combined Infrared and Visible Light 认领 引用
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作者 XU Song JI Guipeng +5 位作者 ZHAO Hongsheng YU Tengli WANG Ershen QU Pingping CHEN Yunhao ZHANG Hongxuan 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2026年第3期400-411,共12页
Visible light cameras are excellent at capturing subtle features of moving targets in well⁃wit and stable scenes.However,such cameras may not be able to accurately detect targets when encountering occlusion,fluctuatin... Visible light cameras are excellent at capturing subtle features of moving targets in well⁃wit and stable scenes.However,such cameras may not be able to accurately detect targets when encountering occlusion,fluctuating light intensity,or shadow effects,leading to the occurrence of missed or false alarms.Aiming at the problem of poor anti⁃interference ability of visible light images in complex scenes,a target detection method based on the combination of visible light and infrared images is proposed.The Canny algorithm is used to preprocess the unmanned aerial vehicle(UAV)infrared image,the seed points are obtained through the Sobel operator,and the image segmentation is performed using the maximum inter⁃class variance value of the image as the growth criterion in order to locate the UAV region in the infrared image.Then the corresponding region of the visible image is cropped,and UAV target detection is performed in this region.The joint detection method narrows the scope of detection and effectively reduces the interference of factors such as illumination changes and interfering objects on the detection results.Experimental results show that the proposed method achieves 87.6%precision and 75.9%recall,with mAP0.5 and mAP0.5:0.95 values of 83.9%and 52.9%,respectively. 展开更多
关键词 UAV target detection infrared image visible image image conjunction YOLOv5 algorithm
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Machine Learning-Based Prediction of Rock Fracture under Uniaxial Loading Using Infrared Radiation 认领 引用
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作者 Naseer Muhammad Khan Liqiang Ma +4 位作者 Majid Khan Sajjad Hussain Waleed Inqiad Tariq Feroze Danial Jahed Armaghani 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第6期465-505,共41页
Rock fracture behavior under stress is vital for risk evaluation in underground engineering excavation because the presence of water can significantly increase the extent of cracks and fractures in rock,leading to str... Rock fracture behavior under stress is vital for risk evaluation in underground engineering excavation because the presence of water can significantly increase the extent of cracks and fractures in rock,leading to structural damage.This can result in catastrophic failures,including rock bursts,coal bursts,and water inrush.Hence,reliable prediction of rock damage and fracture processes is still lacking,which,in turn,enables the safe and efficient conduct of engineering projects in rock-mass environments.Thus,this study examines both dry and saturated sandstone samples under loading using Infrared Radiation(IR),Acoustic Emission(AE)monitoring,and Particle Flow Computation(PFC)techniques to effectively evaluate the fracture process in rocks under loading.Additionally,seven different artificial intelligence techniques,such as Gene Expression Programming(GEP),Gradient Boost Regression(GBR),Extreme Gradient Boosting(XGB),Adaptive Boosting(AdaBoost),Light Gradient Boosting Machine(LGBM),Categorical Boosting(CatBoost),were employed along with Explainable Machine Learning(XML)to predict the rock damage and fracture process.These models helped in the development of early warning signals to prevent catastrophic accidents.Both the experimental and simulation results have shown that the fracture density measured in terms of PFC and AE cumulative energy is significant in the saturated conditions compared to the dry conditions.Also,stress levels of 0.72 and 0.75 were found to be the warning signs in both dry and saturated conditions,based on the IR index(Average Infrared Radiation Temperature,AIRT)and AE characteristics.The comparison showed that the prediction accuracy of the XGB algorithm was the highest,followed by GBR,CatBoost,LGBM,GEP,and AdaBoost.However,GEP expressed its output in the form of an empirical equation owing to its grey-box nature,and thus,the law of fracture estimation in the form of an empirical equation was developed.The XML methods were added in order to enhance the interpretability of the high-performing,but black-box,XGB model.Such methods,along with a user-friendly Graphical User Interface(GUI),improved the model transparency and facilitated the integration of data-driven decision-making.XML and GUI tools may be instrumental in improving the safety measures adopted in coal mines and tunnels by reducing the risks and increasing operational safety. 展开更多
关键词 Rock fracture prediction acoustic emission infrared radiation particle flow computation water contents
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A method for enhancing the performance of infrared filters based on ratemodulated deposition of germanium films 认领 引用
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作者 LIU Bao-Jian LI Da-Qi +7 位作者 DUAN Wei-Bo YU De-Ming CAI Qing-Yuan YU Tian-Yan JIANG Lin YANG Yu-Ting ZHUANG Qiu-Hui ZHENG Yu-Xiang 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2026年第1期157-165,共9页
This study systematically investigated the influence of deposition rate on the structure,broadband opti⁃cal properties(1.0-13.0μm),and stress characteristics of Germanium(Ge)films.Additionally,a method for enhancing ... This study systematically investigated the influence of deposition rate on the structure,broadband opti⁃cal properties(1.0-13.0μm),and stress characteristics of Germanium(Ge)films.Additionally,a method for enhancing the performance of infrared filters based on rate-modulated deposition of Ge films was proposed.The optical absorption of Ge films in the short-wave infrared(SWIR)and long-wave infrared(LWIR)bands can be effectively reduced by modulating the deposition rate.As the deposition rate increases,the Ge films maintain an amorphous structure.The optical constants of the films in the 1.0-2.5μm and 2.5-13.0μm bands were precisely determined using the Cody-Lorentz model and the classical Lorentz oscillator model,respectively.Notably,high⁃er deposition rates result in a gradual increase in the refractive index.The extinction coefficient increases with the deposition rate in the SWIR region,attributed to the widening of the Urbach tail,while it decreases in the LWIR region due to the reduced absorption caused by the Ge-O stretching mode.Additionally,the films exhibit a tensile stress that decreases with increasing deposition rate.Finally,the effectiveness of the proposed fabrication method for an infrared filter with Ge films deposited at an optimized rate was demonstrated through practical examples.This work provides theoretical and technical support for the application of Ge films in high-performance infrared filters. 展开更多
关键词 optical coatings germanium film optical absorption infrared filter
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In-situ tracking of organic reaction dynamics:an infrared-temperature dual sensing approach using a single chalcogenide fiber 认领 引用
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作者 XINXIANG HUANG SHILIANG KANG +4 位作者 YANQING FU LINLING TAN CHENGWEI GAO SHIXUN DAI CHANGGUI LIN 《Photonics Research》 SCIE EI CAS CSCD 2026年第6期2418-2427,共10页
Precise control over organic reaction dynamic requires in-situ insight into temperature and concentration variations.However,conventional detection strategies,often relying on off-line or decoupled methods,suffer from... Precise control over organic reaction dynamic requires in-situ insight into temperature and concentration variations.However,conventional detection strategies,often relying on off-line or decoupled methods,suffer from delayed responses and poor temporal synchronization.Herein,we propose a bifunctional single-fiber sensor based on Ge5As25Se30Te40 chalcogenide glass,which seamlessly integrates fiber evanescent wave spectroscopy for chemical fingerprinting identification with a thermoresistive effect for thermal sensing.It exhibits exceptional performance with a rapid temperature response(~2.6 s)and a high temperature sensitivity(jTCRj~4.07%K-1).Validated through the in-situ monitoring of ethyl butyrate synthesis,the single-fiber sensor effectively tracked reaction evolution and thermal distinctness,providing reliable guidance for process optimization and control.With its label-free detection,structural simplicity,and high sensitivity,this proposed strategy represents a robust process analytical technology tool for monitoring complex organic reactions. 展开更多
关键词 chemical fingerprinting identification situ tracking fiber evanescent wave spectroscopy thermoresistive effect infrared temperature dual sensing detection strategiesoften precise control organic reaction dynamic organic reaction dynamics
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FDEFusion:End-to-End Infrared and Visible Image Fusion Method Based on Frequency Decomposition and Enhancement 认领 引用
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作者 Ming Chen Guoqiang Ma +3 位作者 Ping Qi Fucheng Wang Lin Shen Xiaoya Pi 《Computers, Materials & Continua》 SCIE EI 2026年第4期817-839,共23页
In the image fusion field,fusing infrared images(IRIs)and visible images(VIs)excelled is a key area.The differences between IRIs and VIs make it challenging to fuse both types into a high-quality image.Accordingly,eff... In the image fusion field,fusing infrared images(IRIs)and visible images(VIs)excelled is a key area.The differences between IRIs and VIs make it challenging to fuse both types into a high-quality image.Accordingly,efficiently combining the advantages of both images while overcoming their shortcomings is necessary.To handle this challenge,we developed an end-to-end IRI andVI fusionmethod based on frequency decomposition and enhancement.By applying concepts from frequency domain analysis,we used the layering mechanism to better capture the salient thermal targets from the IRIs and the rich textural information from the VIs,respectively,significantly boosting the image fusion quality and effectiveness.In addition,the backbone network combined Restormer Blocks and Dense Blocks;Restormer blocks utilize global attention to extract shallow features.Meanwhile,Dense Blocks ensure the integration between shallow and deep features,thereby avoiding the loss of shallow attributes.Extensive experiments on TNO and MSRS datasets demonstrated that the suggested method achieved state-of-the-art(SOTA)performance in various metrics:Entropy(EN),Mutual Information(MI),Standard Deviation(SD),The Structural Similarity Index Measure(SSIM),Fusion quality(Qabf),MI of the pixel(FMIpixel),and modified Visual Information Fidelity(VIFm). 展开更多
关键词 Infrared images visible images frequency decomposition restormer blocks global attention
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