Share Email Print
cover

Proceedings Paper

Improved topographic correction approach for radiation of remote sensing image
Author(s): Shumin Liu; Xingfa Gu; Hongyou Liang; Feiming Wei; Yang Dong
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Remote sensing images of rugged areas are severely affected by the topographic effects. Usually, the effects can cause plenty of shades in the images and result in a high variation in the reflectance response for similar vegetation types. Accordingly, these effects will strongly affect the quality of vegetation classification. In general, the irradiance which a slope accepts contains three parts: the direct solar irradiance, the diffuse sky irradiance and the irradiance from adjacent terrain. But the area facing away from the sun cannot accept the direct solar irradiance. The C correction method which takes into accounts the effects of the atmosphere and adjacent terrain has become a popular method for topographic correction. But the C corrected image has a problem of overcorrection, especially in the area of high incidence angles, since this method is based on the empirical linear correlation between observed radiance and the cosine values of solar incidence angles. In this paper, an improved C correction method is proposed to reduce this error and improve the accuracy of classification.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902O (14 November 2007); doi: 10.1117/12.750971
Show Author Affiliations
Shumin Liu, Univ. of Electronic Science and Technology of China (China)
Institute of Remote Sensing Applications (China)
Xingfa Gu, Univ. of Electronic Science and Technology of China (China)
Institute of Remote Sensing Applications (China)
Hongyou Liang, Institute of Remote Sensing Applications (China)
Feiming Wei, Univ. of Electronic Science and Technology of China (China)
Institute of Remote Sensing Applications (China)
Yang Dong, Univ. of Electronic Science and Technology of China (China)
Institute of Remote Sensing Applications (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

© SPIE. Terms of Use
Back to Top