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Proceedings Paper

The study on atmospheric correction of TM image data in GuangZhou
Author(s): Jianbo Xu; Zhenhua Liu; Wen Ya
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Paper Abstract

To extract accurately quantitative information from remote sensing image, Atmospheric Correction is a necessary step. The quantitative analysis of Atmospheric Correction is still one among the important issues in application of remote sensing images. Based on the characteristics of the MODTRAN(transfer model) and the dark-object method, they are combined to remove atmospheric effects of remote sensing image in this study. In order to improve the speed of Atmospheric Correction by MODTRAN model, the dark-object method is used to acquire Path Radiance, which is one of main parameters in MODTRAN model. The new method is applied to TM image in the working area of GuangZhou. The result of the above study shows that the atmospheric correction model combining MODTRAN with the dark-object method appears to be a very hopeful approach. Compared with the MODTRAN model, the new model advances surface-atmospheric coupled efficiency. But contrasted with the dark-object method, the precision of atmospheric correction is advanced.

Paper Details

Date Published: 3 November 2008
PDF: 8 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71451H (3 November 2008); doi: 10.1117/12.813032
Show Author Affiliations
Jianbo Xu, South China Agricultural Univ. (China)
Zhenhua Liu, South China Agricultural Univ. (China)
Wen Ya, South China Agricultural Univ. (China)


Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Yong Lao, Editor(s)

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