Proceedings Paper
The optimal route selection of airborne remote sensing by simulating radiative transfer| Format | Member Price | Non-Member Price |
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Paper Abstract
The airborne test experiment validates the function of remote sensor before on-oribt which has important meaning for satellite remote sensing. The sun glint is the most important factor that affects the data quality of airborne test experiment. In order to avoid the sun glint and improve the data quality it needs to select the optimal fly route before the airborne test experiment. This paper simulates the sun glint radiative image with inputed the in-remote sensor atmosphere and water parameters using the radiative transfer theory in atmosphere and ocean. Based on the generated sun glint radiative images can select the optimal fly route will improve the data availability significantly in the airborne test experiment and reduce the waste of manpower and material resources in the airborne test experiment.
Paper Details
Date Published: 12 May 2005
PDF: 8 pages
Proc. SPIE 5832, Optical Technologies for Atmospheric, Ocean, and Environmental Studies, (12 May 2005); doi: 10.1117/12.619693
Published in SPIE Proceedings Vol. 5832:
Optical Technologies for Atmospheric, Ocean, and Environmental Studies
Daren Lu; Gennadii G. Matvienko, Editor(s)
PDF: 8 pages
Proc. SPIE 5832, Optical Technologies for Atmospheric, Ocean, and Environmental Studies, (12 May 2005); doi: 10.1117/12.619693
Show Author Affiliations
Qiankun Zhu, State Key Lab. of Ocean Dynamic Processes and Satellite Oceanography, SOA (China)
Xianqiang He, State Key Lab. of Ocean Dynamic Processes and Satellite Oceanography, SOA (China)
Shanghai Institute of Technology and Physics, CAS (China)
Xianqiang He, State Key Lab. of Ocean Dynamic Processes and Satellite Oceanography, SOA (China)
Shanghai Institute of Technology and Physics, CAS (China)
Delu Pan, State Key Lab. of Ocean Dynamic Processes and Satellite Oceanography, SOA (China)
Zhihua Mao, State Key Lab. of Ocean Dynamic Processes and Satellite Oceanography, SOA (China)
Zhihua Mao, State Key Lab. of Ocean Dynamic Processes and Satellite Oceanography, SOA (China)
Published in SPIE Proceedings Vol. 5832:
Optical Technologies for Atmospheric, Ocean, and Environmental Studies
Daren Lu; Gennadii G. Matvienko, Editor(s)
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