Radiometric Cross-Calibration of Large-View-Angle Satellite Sensors Using Global Searching to Reduce BRDF Influence
文献类型：期刊论文
| 作者 | Zhou, Qu2; Tian, Liqiao2; Li, Jian3; Wu, Hua1 ; Zeng, Qun4
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| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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| 出版日期 | 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. |
| WOS关键词 | RETRIEVAL ; DESERT ; ALGORITHMS ; IMAGERY ; ALBEDO ; FOREST |
| 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研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000652834200054 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; LIESMARS Special Research Funding |
| 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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