Radiometric Cross-Calibration of Large-View-Angle Satellite Sensors Using Global Searching to Reduce BRDF Influence

doi:10.1109/TGRS.2020.3019969

	Radiometric Cross-Calibration of Large-View-Angle Satellite Sensors Using Global Searching to Reduce BRDF Influence
	Zhou, Qu 2; Tian, Liqiao 2; Li, Jian 3; Wu, Hua 1; Zeng, Qun 4
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2021-06-01
卷号	59 期号:6 页码:5234-5245
关键词	Sensors Calibration Image sensors Satellite broadcasting Optimization MODIS Remote sensing Bidirectional reflectance distribution function (BRDF) cross-calibration global searching (GS) large view angles remote sensing
ISSN号	0196-2892
DOI	10.1109/TGRS.2020.3019969
通讯作者	Li, Jian(lijian@whu.edu.cn)
英文摘要	Satellite sensors with large view angles can provide wide-swath imaging for earth observations, which pose new challenges for cross-calibration due to bidirectional reflectance distribution function (BRDF). To address these challenges, we adopted global searching (GS) algorithms to "search" calibration coefficients with BRDF considered. The GS-based methods were implemented to calibrate two Chinese large-view-angle sensors: the Gaofen-1 first wide-field-of-view (WFV1) camera and Gaofen- 4 panchromatic multispectral sensor (PMS) with Landsat-8/Operational Land Imager (OLI) as references. Validations were conducted by evaluating the top of atmosphere (TOA) radiance and surface reflectance using synchronous OLI data. The mean relative biases (MRBs) of the GS-derived TOA radiance for the WFV1 were smaller than 5.5% compared with the OLI-simulated TOA radiance, while those of using official coefficients were up to 13%. The performances of the GS method and traditional method using the Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF products for BRDF correction are comparable. The GS-based scheme has the potential to correct BRDF during cross-calibration and thus free cross-calibration of large-view-angle sensors from BRDF models and products.
资助项目	National Key Research and Development Program of China[2018YFB0504900] ; National Key Research and Development Program of China[2018YFB0504904] ; National Key Research and Development Program of China[2016YFC0200900] ; National Natural Science Foundation of China[41571344] ; National Natural Science Foundation of China[41701379] ; LIESMARS Special Research Funding
WOS关键词	RETRIEVAL ; DESERT ; ALGORITHMS ; IMAGERY ; ALBEDO ; FOREST
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000652834200054
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China ; LIESMARS Special Research Funding
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/164074]
专题	中国科学院地理科学与资源研究所
通讯作者	Li, Jian
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Peoples R China 3.Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430072, Peoples R China 4.Cent China Normal Univ, Editorial Dept Journal, Wuhan 430079, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Qu,Tian, Liqiao,Li, Jian,et al. Radiometric Cross-Calibration of Large-View-Angle Satellite Sensors Using Global Searching to Reduce BRDF Influence[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2021,59(6):5234-5245.
APA	Zhou, Qu,Tian, Liqiao,Li, Jian,Wu, Hua,&Zeng, Qun.(2021).Radiometric Cross-Calibration of Large-View-Angle Satellite Sensors Using Global Searching to Reduce BRDF Influence.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,59(6),5234-5245.
MLA	Zhou, Qu,et al."Radiometric Cross-Calibration of Large-View-Angle Satellite Sensors Using Global Searching to Reduce BRDF Influence".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 59.6(2021):5234-5245.