On-Orbit Autonomous Geometric Calibration of Directional Polarimetric Camera
Xiang, Guangfeng1,2,3; Meng, Binghuan1,3; Tu, Bihai1,3; Lei, Xuefeng1,2,3; Sheng, Tingrui1,2,3; Han, Lin1,3; Luo, Donggen1,3; Hong, Jin1,3
刊名REMOTE SENSING
2022-09-01
卷号14
关键词geometric calibration directional polarimetric camera geolocation accuracy image registration remote sensing
DOI10.3390/rs14184548
通讯作者Meng, Binghuan(bhmeng@aiofm.ac.cn)
英文摘要The Directional Polarimetric Camera (DPC) carried by the Chinese GaoFen-5-02 (GF-5-02) satellite has the ability for multiangle, multispectral, and polarization detection and will play an important role in the inversion of atmospheric aerosol and cloud characteristics. To ensure the validity of the DPC on-orbit multiangle and multispectral polarization data, high-precision image registration and geolocation are vital. High-precision geometric model parameters are a prerequisite for on-orbit image registration and geolocation. Therefore, on the basis of the multiangle imaging characteristics of DPC, an on-orbit autonomous geometric calibration method without ground reference data is proposed. The method includes three steps: (1) preprocessing the original image of the DPC and the satellite attitude and orbit parameters; (2) scale-invariant feature transform (SIFT) algorithm to match homologous points between multiangle images; (3) optimization of geometric model parameters on-orbit using least square theory. To verify the effectiveness of the on-orbit autonomous geometric calibration method, the image registration performance and relative geolocation accuracy before and after DPC on-orbit geometric calibration were evaluated and analyzed using the SIFT algorithm and the coastline crossing method (CCM). The results show that the on-orbit autonomous geometric calibration effectively improves the DPC image registration and relative geolocation accuracy. After on-orbit calibration, the multiangle image registration accuracy is better than 1.530 km, the multispectral image registration accuracy is better than 0.650 km, and the relative geolocation accuracy is better than 1.275 km, all reaching the subpixel level (<1.7 km).
资助项目K. C. Wong Education Foundation International team of Advanced Polarization Remote Sensing Technology and Application[GJTD-2018-15]
WOS关键词SELF-CALIBRATION ; FLIGHT CALIBRATION ; AEROSOL ; ACCURACY ; IMAGER ; MODEL
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:000859549600001
资助机构K. C. Wong Education Foundation International team of Advanced Polarization Remote Sensing Technology and Application
内容类型期刊论文
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/129199]  
专题中国科学院合肥物质科学研究院
通讯作者Meng, Binghuan
作者单位1.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
2.Univ Sci & Technol China, Hefei 230026, Peoples R China
3.Chinese Acad Sci, Key Lab Opt Calibrat & Characterizat, Hefei 230031, Peoples R China
推荐引用方式
GB/T 7714
Xiang, Guangfeng,Meng, Binghuan,Tu, Bihai,et al. On-Orbit Autonomous Geometric Calibration of Directional Polarimetric Camera[J]. REMOTE SENSING,2022,14.
APA Xiang, Guangfeng.,Meng, Binghuan.,Tu, Bihai.,Lei, Xuefeng.,Sheng, Tingrui.,...&Hong, Jin.(2022).On-Orbit Autonomous Geometric Calibration of Directional Polarimetric Camera.REMOTE SENSING,14.
MLA Xiang, Guangfeng,et al."On-Orbit Autonomous Geometric Calibration of Directional Polarimetric Camera".REMOTE SENSING 14(2022).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace