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Quantitative analysis of flow characteristics within tundishes using dye experiments and image processing techniques 认领 引用
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作者 Hao-Jian Duan Ding-Han Li Li-Feng Zhang 《Journal of Iron and Steel Research International》 SCIE EI CSCD 2026年第2期178-192,共15页
Image processing techniques were employed to analyze the ink dispersion process in a tundish water model,providing quantitative parameters to evaluate fluid flow dynamics.Key parameters,including filling time,dead are... Image processing techniques were employed to analyze the ink dispersion process in a tundish water model,providing quantitative parameters to evaluate fluid flow dynamics.Key parameters,including filling time,dead area fraction,area emptying time,peak concentration time,dead concentration fraction,and concentration emptying time,were introduced.Orthogonal tests were conducted to investigate the effects of dam spacing,height,and openings on tundish flow behavior.Results revealed that the dam spacing of 3760 mm yielded the shortest filling and peak concentration time,while the 4760 mm spacing minimized dead area and concentration fractions.Taller dams(620 mm)reduced dead area fractions but extended peak concentration time.Dams with openings demonstrated improved flow dynamics,reducing both dead area and concentration fractions,as well as emptying time.The consistency between dye experiments and residence time distribution experiments highlights the reliability of these parameters for optimizing tundish design and operation. 展开更多
关键词 Tundish Dye experiment Image processing technique Orthogonal test Dam
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The State-of-the-Art Review on Applications of Intrusive Sensing,Image Processing Techniques,and Machine Learning Methods in Pavement Monitoring and Analysis 认领 引用 被引量：34
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作者 Yue Hou Qiuhan Li +5 位作者 Chen Zhang Guoyang Lu Zhoujing Ye Yihan Chen Linbing Wang Dandan Cao 《Engineering》 SCIE EI CAS CSCD 2021年第6期845-856,共12页
In modern transportation,pavement is one of the most important civil infrastructures for the movement of vehicles and pedestrians.Pavement service quality and service life are of great importance for civil engineers a... In modern transportation,pavement is one of the most important civil infrastructures for the movement of vehicles and pedestrians.Pavement service quality and service life are of great importance for civil engineers as they directly affect the regular service for the users.Therefore,monitoring the health status of pavement before irreversible damage occurs is essential for timely maintenance,which in turn ensures public transportation safety.Many pavement damages can be detected and analyzed by monitoring the structure dynamic responses and evaluating road surface conditions.Advanced technologies can be employed for the collection and analysis of such data,including various intrusive sensing techniques,image processing techniques,and machine learning methods.This review summarizes the state-ofthe-art of these three technologies in pavement engineering in recent years and suggests possible developments for future pavement monitoring and analysis based on these approaches. 展开更多
关键词 Pavement monitoring and analysis The state-of-the-art review Intrusive sensing Image processing techniques Machine learning methods
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The Mini-SiTian Array:the Mini-SiTian Real-time Image Processing Pipeline(STRIP) 认领 引用
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作者 Hongrui Gu Yang Huang +10 位作者 Yongkang Sun Kai Xiao Zhirui Li Beichuan Wang Zhou Fan Chuanjie Zheng Henggeng Han Hu Zou Wenxiong Li Hong Wu Jifeng Liu 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2025年第4期71-83,共13页
This paper provides a comprehensive introduction to the mini-Si Tian Real-time Image Processing pipeline(STRIP)and evaluates its operational performance.The STRIP pipeline is specifically designed for real-time alert ... This paper provides a comprehensive introduction to the mini-Si Tian Real-time Image Processing pipeline(STRIP)and evaluates its operational performance.The STRIP pipeline is specifically designed for real-time alert triggering and light curve generation for transient sources.By applying the STRIP pipeline to both simulated and real observational data of the Mini-Si Tian survey,it successfully identified various types of variable sources,including stellar flares,supernovae,variable stars,and asteroids,while meeting requirements of reduction speed within 5 minutes.For the real observational data set,the pipeline detected one flare event,127 variable stars,and14 asteroids from three monitored sky regions.Additionally,two data sets were generated:one,a real-bogus training data set comprising 218,818 training samples,and the other,a variable star light curve data set with 421instances.These data sets will be used to train machine learning algorithms,which are planned for future integration into STRIP. 展开更多
关键词 surveys techniques:photometric stars:variables:general techniques:image processing
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Point Spread Function Construction for Astrometry in LORRI Images 认领 引用
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作者 Hai-Peng Yuan Qing-Feng Zhang +2 位作者 Kai Tang Hai-Peng Wang Min-Jun Li 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2026年第6期219-229,共11页
The Long Range Reconnaissance Imager(LORRI)aboard New Horizons provides numerous optical images for precision photometry and astrometry,where accurate knowledge of the point-spread function(PSF)is essential.Existing G... The Long Range Reconnaissance Imager(LORRI)aboard New Horizons provides numerous optical images for precision photometry and astrometry,where accurate knowledge of the point-spread function(PSF)is essential.Existing Gaussian and effective-PSF(ePSF)models implicitly absorb pixel-integration effects,leading to pixelphase-dependent centroid biases under near-Nyquist sampling.Following the super-resolution PSF reconstruction framework of Symons et al.,we implement a pixel-integration–aware reconstruction of an oversampled stacked kernel with Richardson–Lucy deconvolution and iterative back-projection refinement to obtain a de-pixelated,band-limited PSF for LORRI(DePix-PSF).Tests on LORRI star-field images spanning magnitudes 6–16 show that DePix-PSF delivers nearly unbiased centroids and the smallest per-axis standard deviations of the O–C(observed-minus-calculated)residuals.On 1024×1024 data,it achieves centroiding precisions of 0.029 pixels(x)and 0.036 pixels(y),improving on the e PSF by 40%and 16%,respectively,and remains robust in singleexposure sparse-field cases where ePSF degrades.These results show that DePix-PSF measurably improves subpixel astrometry for LORRI.This method is also readily adaptable to other undersampled or near-Nyquist flight imagers. 展开更多
关键词 astrometry techniques:image processing methods:data analysis methods:observational
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Machine Learning-based Identification of Contaminated Images in Light Curve Data Preprocessing 认领 引用 被引量：1
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作者 Hui Li Rong-Wang Li +1 位作者 Peng Shu Yu-Qiang Li 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2024年第4期287-295,共9页
Attitude is one of the crucial parameters for space objects and plays a vital role in collision prediction and debris removal.Analyzing light curves to determine attitude is the most commonly used method.In photometri... Attitude is one of the crucial parameters for space objects and plays a vital role in collision prediction and debris removal.Analyzing light curves to determine attitude is the most commonly used method.In photometric observations,outliers may exist in the obtained light curves due to various reasons.Therefore,preprocessing is required to remove these outliers to obtain high quality light curves.Through statistical analysis,the reasons leading to outliers can be categorized into two main types:first,the brightness of the object significantly increases due to the passage of a star nearby,referred to as“stellar contamination,”and second,the brightness markedly decreases due to cloudy cover,referred to as“cloudy contamination.”The traditional approach of manually inspecting images for contamination is time-consuming and labor-intensive.However,we propose the utilization of machine learning methods as a substitute.Convolutional Neural Networks and SVMs are employed to identify cases of stellar contamination and cloudy contamination,achieving F1 scores of 1.00 and 0.98 on a test set,respectively.We also explore other machine learning methods such as ResNet-18 and Light Gradient Boosting Machine,then conduct comparative analyses of the results. 展开更多
关键词 techniques:image processing methods:data analysis light pollution
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Improving Image Quality of the Solar Disk Imager(SDI)of the LyαSolar Telescope(LST)Onboard the ASO-S Mission 认领 引用 被引量：1
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作者 Hui Liu Hui Li +11 位作者 Sizhong Zou Kaifan Ji Zhenyu Jin Jiahui Shan Jingwei Li Guanglu Shi Yu Huang Li Feng Jianchao Xue Qiao Li Dechao Song Ying Li 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2025年第2期36-45,共10页
The in-flight calibration and performance of the Solar Disk Imager(SDI),which is a pivotal instrument of the LyαSolar Telescope onboard the Advanced Space-based Solar Observatory mission,suggested a much lower spatia... The in-flight calibration and performance of the Solar Disk Imager(SDI),which is a pivotal instrument of the LyαSolar Telescope onboard the Advanced Space-based Solar Observatory mission,suggested a much lower spatial resolution than expected.In this paper,we developed the SDI point-spread function(PSF)and Image Bivariate Optimization Algorithm(SPIBOA)to improve the quality of SDI images.The bivariate optimization method smartly combines deep learning with optical system modeling.Despite the lack of information about the real image taken by SDI and the optical system function,this algorithm effectively estimates the PSF of the SDI imaging system directly from a large sample of observational data.We use the estimated PSF to conduct deconvolution correction to observed SDI images,and the resulting images show that the spatial resolution after correction has increased by a factor of more than three with respect to the observed ones.Meanwhile,our method also significantly reduces the inherent noise in the observed SDI images.The SPIBOA has now been successfully integrated into the routine SDI data processing,providing important support for the scientific studies based on the data.The development and application of SPIBOA also paves new ways to identify astronomical telescope systems and enhance observational image quality.Some essential factors and precautions in applying the SPIBOA method are also discussed. 展开更多
关键词 techniques:image processing Sun:chromosphere Sun:flares methods:numerical
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YL8C4Net: A Novel Algorithm for Target Source Detection and Classification in Astronomical Photometric Images 认领 引用
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作者 Chen-Ying Zhao Liang-Ping Tu +4 位作者 Jian-Xi Li Jia-Wei Miao Geng-Qi Lin Fang-Yuan Chen Yang-Yang Liu 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2025年第8期217-231,共15页
In the task of classifying massive celestial data,the accurate classification of galaxies,stars,and quasars usually relies on spectral labels.However,spectral data account for only a small fraction of all astronomical... In the task of classifying massive celestial data,the accurate classification of galaxies,stars,and quasars usually relies on spectral labels.However,spectral data account for only a small fraction of all astronomical observation data,and the target source classification information in vast photometric data has not been accurately measured.To address this,we propose a novel deep learning-based algorithm,YL8C4Net,for the automatic detection and classification of target sources in photometric images.This algorithm combines the YOLOv8 detection network with the Conv4Net classification network.Additionally,we propose a novel magnitude-based labeling method for target source annotation.In the performance evaluation,the YOLOv8 achieves impressive performance with average precision scores of 0.824 for AP@0.5 and 0.795 for AP@0.5:0.95.Meanwhile,the constructed Conv4Net attains an accuracy of 0.8895.Overall,YL8C4Net offers the advantages of fewer parameters,faster processing speed,and higher classification accuracy,making it particularly suitable for large-scale data processing tasks.Furthermore,we employed the YL8C4Net model to conduct target source detection and classification on photometric images from 20 sky regions in SDSS-DR17.As a result,a catalog containing about 9.39 million target source classification results has been preliminarily constructed,thereby providing valuable reference data for astronomical research. 展开更多
关键词 techniques:image processing methods:data analysis techniques:photometric catalogs
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Image Stabilization Residuals Caused by Tip-tilt of Fast Steering Mirror in the China Space Station Telescope 认领 引用 被引量：1
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作者 Long Li Cheng-Hao Li +6 位作者 Quan Zhang Yuan-Peng Gao Zi-Huang Cao Zhi-Rui Cao Xu He Li-Hao Zhang Wei Wang 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2025年第4期209-217,共9页
The China Space Station Telescope(CSST)is a 2 m three-mirror anastigmat equipped with a Fast Steering Mirror(FSM),which is part of its precision image stabilization system.The FSM is used to compensate for residuals f... The China Space Station Telescope(CSST)is a 2 m three-mirror anastigmat equipped with a Fast Steering Mirror(FSM),which is part of its precision image stabilization system.The FSM is used to compensate for residuals from the previous stage of the image stabilization system.However,a new type of image stabilization residual caused by image rotation and projection distortion is introduced when the FSM performs tip-tilt adjustments,reducing both the image stabilization accuracy and the absolute pointing accuracy of the CSST.In this paper,we propose a scheme to compute the image stabilization residuals across the full field of view(FOV)by using a reference star as the target for stabilization control,which can be utilized for subsequent image position correction.To achieve this,we developed a linear optical model for image point displacement by simplifying an existing image point displacement model and incorporating more readily available parameters.The computational accuracy of the new model is equivalent to that of the original,with computational differences of less than 0.03μm.Based on this linear model,we established a calculation model for image stabilization residuals,including those due to image rotation and projection distortion caused by FSM tip-tilt adjustments.This model provides a theoretical foundation for quantifying such residuals during the image stabilization process.Finally,the results of testing using this scheme are provided.Experimental results demonstrate that within the observation FOV of the CSST,when the FSM tilts by(1″,1″),the maximum absolute value of the image stabilization residuals accounts for 20%of the total image stabilization accuracy requirement.This finding underscores the necessity of computing and correcting these residuals to meet performance requirements. 展开更多
关键词 telescopes techniques:image processing methods:analytical
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The Mini-SiTian Array:Imaging Processing Pipeline 认领 引用
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作者 Kai Xiao Zhirui Li +19 位作者 Yang Huang Jie Zheng Haibo Yuan Junju Du Linying Mi Hongrui Gu Yongkang Sun Bowen Zhang Shunxuan He Henggeng Han Min He Ruifeng Shi Yu Zhang Chuanjie Zheng Zexi Niu Guiting Tian Hu Zou Yongna Mao Hong Wu Jifeng Liu 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2025年第4期55-70,共16页
As a pathfinder of the SiTian project,the Mini-SiTian(MST)Array,employed three commercial CMOS cameras,represents a next-generation,cost-effective optical time-domain survey project.This paper focuses primarily on the... As a pathfinder of the SiTian project,the Mini-SiTian(MST)Array,employed three commercial CMOS cameras,represents a next-generation,cost-effective optical time-domain survey project.This paper focuses primarily on the precise data processing pipeline designed for wide-field,CMOS-based devices,including the removal of instrumental effects,astrometry,photometry,and flux calibration.When applying this pipeline to approximately3000 observations taken in the Field 02(f02)region by MST,the results demonstrate a remarkable astrometric precision of approximately 70–80 mas(about 0.1 pixel),an impressive calibration accuracy of approximately1 mmag in the MST zero points,and a photometric accuracy of about 4 mmag for bright stars.Our studies demonstrate that MST CMOS can achieve photometric accuracy comparable to that of CCDs,highlighting the feasibility of large-scale CMOS-based optical time-domain surveys and their potential applications for cost optimization in future large-scale time-domain surveys,like the SiTian project. 展开更多
关键词 methods:data analysis techniques:image processing surveys
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GT-scopy:A Data Processing and Enhancing Package(Level 1.0-1.5)for Ground Solar Telescopes——Based on the 1.6 m Goode Solar Telescope 认领 引用
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作者 Ding Yuan Wei Wu +4 位作者 Song Feng Libo Fu Wenda Cao Jianchuan Zheng Lin Mei 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2025年第11期191-197,共7页
The increasing demand for high-resolution solar observations has driven the development of advanced data processing and enhancement techniques for ground-based solar telescopes.This study focuses on developing a pytho... The increasing demand for high-resolution solar observations has driven the development of advanced data processing and enhancement techniques for ground-based solar telescopes.This study focuses on developing a python-based package(GT-scopy)for data processing and enhancing for giant solar telescopes,with application to the 1.6 m Goode Solar Telescope(GST)at Big Bear Solar Observatory.The objective is to develop a modern data processing software for refining existing data acquisition,processing,and enhancement methodologies to achieve atmospheric effect removal and accurate alignment at the sub-pixel level,particularly within the processing levels 1.0-1.5.In this research,we implemented an integrated and comprehensive data processing procedure that includes image de-rotation,zone-of-interest selection,coarse alignment,correction for atmospheric distortions,and fine alignment at the sub-pixel level with an advanced algorithm.The results demonstrate a significant improvement in image quality,with enhanced visibility of fine solar structures both in sunspots and quiet-Sun regions.The enhanced data processing package developed in this study significantly improves the utility of data obtained from the GST,paving the way for more precise solar research and contributing to a better understanding of solar dynamics.This package can be adapted for other ground-based solar telescopes,such as the Daniel K.Inouye Solar Telescope(DKIST),the European Solar Telescope(EST),and the 8 m Chinese Giant Solar Telescope,potentially benefiting the broader solar physics community. 展开更多
关键词 techniques:image processing methods:data analysis Astronomical Instrumentation Methods and Techniques
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From Detection to Parameters Estimation:A Pipeline for SDSS Photometric Images 认领 引用
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作者 Yu Mao Liangping Tu +5 位作者 Chaoran Yan Chenying Zhao Jiawei Miao Yue Jiang Zhengyang Xu Mingyu Zheng 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2025年第11期141-154,共14页
Against the backdrop of massive sky survey data,the automated detection,classification,and parameter computation of targets have emerged as critical areas demanding urgent breakthroughs.However,in detection and classi... Against the backdrop of massive sky survey data,the automated detection,classification,and parameter computation of targets have emerged as critical areas demanding urgent breakthroughs.However,in detection and classification tasks,model accuracy is often constrained by issues such as small target sizes and insufficient feature information.To address this challenge,we innovatively constructs a fully automated astronomical image analysis pipeline that combines point source detection and classification,galaxy morphological classification,and parameter computation,forming an end-to-end solution.This pipeline achieves automated detection and morphological classification of both point sources and extended sources,and it is also able to compute the basic parameters of galaxy targets.The pipeline first accomplishes the detection and localization of target sources using the YOLOv9 model,and then leverages the optimized ResNet-AE model to initially categorize the detected targets into three major classes:stars,quasars,and galaxies.To tackle the problem of small sizes in some galaxy targets,we filtered out samples with larger sizes and distinct contours.Drawing on morphological characteristics,these samples were further classified into six categories via the DenseNet-SE4 model:barred spiral galaxies,cigar galaxies,elliptical galaxies,intermediate galaxies,spiral galaxies,and irregular galaxies.Following this classification,parameter computation was conducted on the targets.Experimental results show that the detection model has achieved better performance than previous studies,with a mean average precision of 85.20%at Intersection over Union values ranging from 0.5 to 0.95.Both classification models also reached an accuracy of over 85%on the test set.Compared with classical CNN networks,these two classification models boast higher precision,and the computation of target parameters has also yielded reliable outcomes.Experiments verify that this pipeline can act as a supplementary tool for astronomical image processing and be applied to data mining and analysis work in sky surveys. 展开更多
关键词 methods:data analysis techniques:image processing Galaxy:general
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A Systematic Review of Computer Vision Techniques for Quality Control in End-of-Line Visual Inspection of Antenna Parts 认领 引用 被引量：1
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作者 Zia Ullah Lin Qi +2 位作者 E.J.Solteiro Pires Arsénio Reis Ricardo Rodrigues Nunes 《Computers, Materials & Continua》 SCIE EI 2024年第8期2387-2421,共35页
The rapid evolution of wireless communication technologies has underscored the critical role of antennas in ensuring seamless connectivity.Antenna defects,ranging from manufacturing imperfections to environmental wear... The rapid evolution of wireless communication technologies has underscored the critical role of antennas in ensuring seamless connectivity.Antenna defects,ranging from manufacturing imperfections to environmental wear,pose significant challenges to the reliability and performance of communication systems.This review paper navigates the landscape of antenna defect detection,emphasizing the need for a nuanced understanding of various defect types and the associated challenges in visual detection.This review paper serves as a valuable resource for researchers,engineers,and practitioners engaged in the design and maintenance of communication systems.The insights presented here pave the way for enhanced reliability in antenna systems through targeted defect detection measures.In this study,a comprehensive literature analysis on computer vision algorithms that are employed in end-of-line visual inspection of antenna parts is presented.The PRISMA principles will be followed throughout the review,and its goals are to provide a summary of recent research,identify relevant computer vision techniques,and evaluate how effective these techniques are in discovering defects during inspections.It contains articles from scholarly journals as well as papers presented at conferences up until June 2023.This research utilized search phrases that were relevant,and papers were chosen based on whether or not they met certain inclusion and exclusion criteria.In this study,several different computer vision approaches,such as feature extraction and defect classification,are broken down and analyzed.Additionally,their applicability and performance are discussed.The review highlights the significance of utilizing a wide variety of datasets and measurement criteria.The findings of this study add to the existing body of knowledge and point researchers in the direction of promising new areas of investigation,such as real-time inspection systems and multispectral imaging.This review,on its whole,offers a complete study of computer vision approaches for quality control in antenna parts.It does so by providing helpful insights and drawing attention to areas that require additional exploration. 展开更多
关键词 Computer vision end-of-line visual inspection of antenna parts machine learning algorithms image processing techniques deep learning models
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Evaluating the Spatial Intra-pixel Sensitivity Variations and Influence Based on Space Observations 认领 引用
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作者 Pei-Pei Wang Zi-Huang Cao +3 位作者 Chao Liu Peng Wei Xin Zhang Jia-Lu Nie 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2026年第6期43-51,共9页
Intra-pixel sensitivity variations(IPSVs)in charge-coupled devices(CCDs)and complementary metal-oxidesemiconductor detectors constitute a significant source of astrometric error for undersampled stellar observations.S... Intra-pixel sensitivity variations(IPSVs)in charge-coupled devices(CCDs)and complementary metal-oxidesemiconductor detectors constitute a significant source of astrometric error for undersampled stellar observations.Since laboratory-based IPSV measurements suffer from limited applicability,we propose a computational method to directly infer IPSV from stellar images and validate it with simulated data.By minimizing the flux residuals between theoretical and observed stellar models through least-squares fitting,we can successfully recover the IPSV,which is treated as nearly identical across pixels.Simulations demonstrate that the reconstructed IPSV achieves high accuracy,and the instrumental point spread function(IPSF)restored using this IPSV improves stellar centroiding by nearly 30×,effectively eliminating periodic pixel-phase errors.The method remains robust under different morphologies of IPSV and varying sampling conditions.Additionally,the framework can be extended to an iterative IPSF-IPSV closed-loop scheme that updates both components simultaneously,providing a practical pathway for continuous detector calibration in future space-based astronomical surveys. 展开更多
关键词 instrumentation:detectors techniques:image processing methods:data analysis
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Reconstructing the landing trajectory of the CE-3 lunar probe by using images from the landing camera 认领 引用 被引量：11
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作者 Jian-Jun Liu Wei Yan +3 位作者 Chun-Lai Li Xu Tan Xin Ren Ling-Li Mu 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2014年第12期1530-1542,共13页
An accurate determination of the landing trajectory of Chang＇e-3 （CE-3） is significant for verifying orbital control strategy, optimizing orbital planning, accu- rately determining the landing site of CE-3 and anal... An accurate determination of the landing trajectory of Chang＇e-3 （CE-3） is significant for verifying orbital control strategy, optimizing orbital planning, accu- rately determining the landing site of CE-3 and analyzing the geological background of the landing site. Due to complexities involved in the landing process, there are some differences between the planned trajectory and the actual trajectory of CE-3. The land- ing camera on CE-3 recorded a sequence of the landing process with a frequency of 10 frames per second. These images recorded by the landing camera and high-resolution images of the lunar surface are utilized to calculate the position of the probe, so as to reconstruct its precise trajectory. This paper proposes using the method of trajectory reconstruction by Single Image Space Resection to make a detailed study of the hov- ering stage at a height of 100 m above the lunar surface. Analysis of the data shows that the closer CE-3 came to the lunar surface, the higher the spatial resolution of im- ages that were acquired became, and the more accurately the horizontal and vertical position of CE-3 could be determined. The horizontal and vertical accuracies were 7.09 m and 4.27 m respectively during the hovering stage at a height of 100.02 m. The reconstructed trajectory can reflect the change in CE-3＇s position during the powered descent process. A slight movement in CE-3 during the hovering stage is also clearly demonstrated. These results will provide a basis for analysis of orbit control strategy, and it will be conducive to adjustment and optimization of orbit control strategy in follow-up missions. 展开更多
关键词 Moon - methods： data analysis - techniques： image processing
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Automatic removal of false image stars in disk-resolved images of the Cassini Imaging Science Subsystem 认领 引用 被引量：2
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作者 Qing-Feng Zhang Zhi-Cong Lu +5 位作者 Xiao-Mei Zhou Yang Zheng Zhan Li Qing-Yu Peng Shun Long Wei-Heng Zhu 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2020年第7期93-102,共10页
Taking a large number of images,the Cassini Imaging Science Subsystem(ISS)has been routinely used in astrometry.In ISS images,disk-resolved objects often lead to false detection of stars that disturb the camera pointi... Taking a large number of images,the Cassini Imaging Science Subsystem(ISS)has been routinely used in astrometry.In ISS images,disk-resolved objects often lead to false detection of stars that disturb the camera pointing correction.The aim of this study was to develop an automated processing method to remove the false image stars in disk-resolved objects in ISS images.The method included the following steps:extracting edges,segmenting boundary arcs,fitting circles and excluding false image stars.The proposed method was tested using 200 ISS images.Preliminary experimental results show that it can remove the false image stars in more than 95%of ISS images with disk-resolved objects in a fully automatic manner,i.e.,outperforming the traditional circle detection based on Circular Hough Transform(CHT)by 17%.In addition,its speed is more than twice as fast as that of the CHT method.It is also more robust(no manual parameter tuning is needed)when compared with CHT.The proposed method was also applied to a set of ISS images of Rhea to eliminate the mismatch in pointing correction in automatic procedure.Experiment results showed that the precision of final astrometry results can be improve by roughly 2 times that of automatic procedure without the method.It proved that the proposed method is helpful in the astrometry of ISS images in a fully automatic manner. 展开更多
关键词 methods:data analysis techniques:image processing techniques:telescopes stars:imaging
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A new lunar absolute control point: established by images from the landing camera on Chang'e-3 认领 引用 被引量：7
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作者 Fen-Fei Wang Jian-Jun Liu +9 位作者 Chun-Lai Li Xin Ren Ling-Li Mu Wei Yan Wen-Rui Wang Jing-Tao Xiao Xu Tan Xiao-Xia Zhang Xiao-Duan Zou Xing-Ye Gao 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2014年第12期1543-1556,共14页
The establishment of a lunar control network is one of the core tasks in selenodesy, in which defining an absolute control point on the Moon is the most im- portant step. However, up to now, the number of absolute con... The establishment of a lunar control network is one of the core tasks in selenodesy, in which defining an absolute control point on the Moon is the most im- portant step. However, up to now, the number of absolute control points has been very sparse. These absolute control points have mainly been lunar laser ranging retrore- flectors, whose geographical location can be observed by observations on Earth and also identified in high resolution lunar satellite images. The Chang＇e-3 （CE-3） probe successfully landed on the Moon, and its geographical location has been monitored by an observing station on Earth. Since its positional accuracy is expected to reach the meter level, the CE-3 landing site can become a new high precision absolute control point. We use a sequence of images taken from the landing camera, as well as satellite images taken by CE-1 and CE-2, to identify the location of the CE-3 lander. With its geographical location known, the CE-3 landing site can be established as a new abso- lute control point, which will effectively expand the current area of the lunar absolute control network by 22%, and can greatly facilitate future research in the field of lunar surveying and mapping, as well as selenodesy. 展开更多
关键词 Moon -- methods： data analysis -- techniques： image processing
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High-resolution Solar Image Reconstruction Based on Non-rigid Alignment 认领 引用 被引量：2
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作者 Hui Liu Zhenyu Jin +1 位作者 Yongyuan Xiang Kaifan Ji 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2022年第9期63-71,共9页
Suppressing the interference of atmospheric turbulence and obtaining observation data with a high spatial resolution are an issue to be solved urgently for ground observations. One way to solve this problem is to perf... Suppressing the interference of atmospheric turbulence and obtaining observation data with a high spatial resolution are an issue to be solved urgently for ground observations. One way to solve this problem is to perform a statistical reconstruction of short-exposure speckle images. Combining the rapidity of Shift-Add and the accuracy of speckle masking, this paper proposes a novel reconstruction algorithm-NASIR(Non-rigid Alignment based Solar Image Reconstruction). NASIR reconstructs the phase of the object image at each frequency by building a computational model between geometric distortion and intensity distribution and reconstructs the modulus of the object image on the aligned speckle images by speckle interferometry. We analyzed the performance of NASIR by using the correlation coefficient, power spectrum, and coefficient of variation of intensity profile in processing data obtained by the NVST(1 m New Vacuum Solar Telescope). The reconstruction experiments and analysis results show that the quality of images reconstructed by NASIR is close to speckle masking when the seeing is good, while NASIR has excellent robustness when the seeing condition becomes worse. Furthermore, NASIR reconstructs the entire field of view in parallel in one go, without phase recursion and block-by-block reconstruction, so its computation time is less than half that of speckle masking. Therefore, we consider NASIR is a robust and highquality fast reconstruction method that can serve as an effective tool for data filtering and quick look. 展开更多
关键词 methods:data analysis techniques:image processing Sun:chromosphere Sun:photosphere instrumentation:high angular resolution
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How to Coadd Images.Ⅱ.Anti-aliasing and PSF Deconvolution 认领 引用 被引量：1
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作者 Lei Wang Huanyuan Shan +8 位作者 Lin Nie Dezi Liu Zhaojun Yan Guoliang Li Cheng Cheng Yushan Xie Han Qu Wenwen Zheng Xi Kang 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2024年第4期103-113,共11页
We have developed a novel method for co-adding multiple under-sampled images that combines the iteratively reweighted least squares and divide-and-conquer algorithms.Our approach not only allows for the anti-aliasing ... We have developed a novel method for co-adding multiple under-sampled images that combines the iteratively reweighted least squares and divide-and-conquer algorithms.Our approach not only allows for the anti-aliasing of the images but also enables Point-Spread Function(PSF)deconvolution,resulting in enhanced restoration of extended sources,the highest peak signal-to-noise ratio,and reduced ringing artefacts.To test our method,we conducted numerical simulations that replicated observation runs of the China Space Station Telescopehe VLT Survey Telescope(VST)and compared our results to those obtained using previous algorithms.The simulation showed that our method outperforms previous approaches in several ways,such as restoring the profile of extended sources and minimizing ringing artefacts.Additionally,because our method relies on the inherent advantages of least squares fitting,it is more versatile and does not depend on the local uniformity hypothesis for the PSF.However,the new method consumes much more computation than the other approaches. 展开更多
关键词 methods:analytical techniques:image processing gravitational lensing:weak (ISM:)cosmic rays
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Terrain reconstruction from Chang'e-3 PCAM images 认领 引用 被引量：4
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作者 Wen-Rui Wang Xin Ren +2 位作者 Fen-Fei Wang Jian-Jun Liu Chun-Lai Li 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2015年第7期1057-1067,共11页
The existing terrain models that describe the local lunar surface have limited resolution and accuracy, which can hardly meet the needs of rover navigation,positioning and geological analysis. China launched the lunar... The existing terrain models that describe the local lunar surface have limited resolution and accuracy, which can hardly meet the needs of rover navigation,positioning and geological analysis. China launched the lunar probe Chang＇e-3 in December, 2013. Chang＇e-3 encompassed a lander and a lunar rover called ＂Yutu＂（Jade Rabbit）. A set of panoramic cameras were installed on the rover mast. After acquiring panoramic images of four sites that were explored, the terrain models of the local lunar surface with resolution of 0.02 m were reconstructed. Compared with other data sources, the models derived from Chang＇e-3 data were clear and accurate enough that they could be used to plan the route of Yutu. 展开更多
关键词 space vehicles： rover -- space vehicles： instruments： panoramic camera-- methods： terrain reconstruction -- techniques： image processing： orthoimage
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A coarse-to-fine strategy for the registration of the multi-wavelength high-resolution solar images 认领 引用 被引量：1
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作者 Rui Wang Zhi Xu 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2020年第7期117-126,共10页
The registration of multi-wavelength high-resolution solar images is an important task in the research of solar physics. This paper proposed a coarse-to-fine strategy to realize the accurate registration of high-resol... The registration of multi-wavelength high-resolution solar images is an important task in the research of solar physics. This paper proposed a coarse-to-fine strategy to realize the accurate registration of high-resolution photospheric images and chromospheric images observed by the New Vacuum Solar Telescope(NVST) whose field-of-view is about 2′~ 3′, and the spatial resolution can reach 0.1′′after image reconstruction. In this strategy, the full-disk solar images with relatively lower resolution taken by other space-or ground-based telescopes are taken as transition images, and the Fourier-Merlin transform,Template matching and a local statistical information based algorithm are used in combination. After registration, the geometric transformation between multi-wavelength images of NVST are corrected at the level of sub-arcseconds, including the rotation, scaling and translation relations. Two sets of data observed in active regions(i.e., the NOAA 11982 and the NOAA 12673) are used to illustrate our method step by step.The result shows that the registration accuracy can reach less than 1′′. Moreover, this work also has facilitated the combination of high-resolution observations of NVST with the continuum, ultraviolet passbands and magnetic field observations of the Solar Dynamic Observation(SDO), which is highly beneficial to the multi-instrument joint measurement of solar activities. 展开更多
关键词 instrumentation:detectors methods:observational techniques:image processing Sun:general
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