干旱区生态环境知识资源中心(Arid): Radiometric Cross-Calibration of Large-View-Angle Satellite Sensors Using Global Searching to Reduce BRDF Influence

Arid

DOI	10.1109/TGRS.2020.3019969
	Radiometric Cross-Calibration of Large-View-Angle Satellite Sensors Using Global Searching to Reduce BRDF Influence
	Zhou, Qu; Tian, Liqiao; Li, Jian; Wu, Hua; Zeng, Qun
通讯作者	Li, J (corresponding author), Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430072, Peoples R China.
来源期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN	0196-2892
EISSN	1558-0644
出版年	2021
卷号	59 期号:6 页码:5234-5245
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.
英文关键词	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
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000652834200054
WOS关键词	RETRIEVAL ; DESERT ; ALGORITHMS ; IMAGERY ; ALBEDO ; FOREST
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350536
作者单位	[Zhou, Qu; Tian, Liqiao] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Peoples R China; [Li, Jian] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430072, Peoples R China; [Wu, Hua] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; [Zeng, Qun] 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]. 中国科学院地理科学与资源研究所,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.