
Proceedings Paper
The absolute radiometric calibration of HJ-1B satellite based on simultaneous ground measurementFormat | Member Price | Non-Member Price |
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Paper Abstract
Considering the aging and radiation recession of satellite remote senors on-orbit, regular in-orbit calibration is
essential to updating the calibration parameters and improving the data’s quantitative application level. This
paper reviews the existing on-orbit radiometric calibration methods, and introduces famous radiation
calibration fields around the world. Simultaneous ground measurement was carried out for the calibration of
visible-near infrared bands of HJ-1B satellite. A comparison was made between the results of the experiment
and the calibration parameters released along with environmental satellite images, which represents desirable
validity and applicability. The calibration result determined the sensor recession and aging in in-orbit
operation. Finally, reasonable proposals for the quantitative application of satellite data are given.
Paper Details
Date Published: 14 May 2014
PDF: 8 pages
Proc. SPIE 9158, Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, 91580C (14 May 2014); doi: 10.1117/12.2063986
Published in SPIE Proceedings Vol. 9158:
Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China
Qingxi Tong; Jie Shan; Boqin Zhu, Editor(s)
PDF: 8 pages
Proc. SPIE 9158, Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China, 91580C (14 May 2014); doi: 10.1117/12.2063986
Show Author Affiliations
Xue Wu, Information Engineering Univ. (China)
Jiangxi Province Key Lab. for Digital Land (China)
Yongsheng Zhang, Information Engineering Univ. (China)
Ying Yu, Information Engineering Univ. (China)
Jiangxi Province Key Lab. for Digital Land (China)
Yongsheng Zhang, Information Engineering Univ. (China)
Ying Yu, Information Engineering Univ. (China)
Published in SPIE Proceedings Vol. 9158:
Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China
Qingxi Tong; Jie Shan; Boqin Zhu, Editor(s)
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