Improved topographic correction approach for radiation of remote sensing image

Shumin Liu; Xingfa Gu; Hongyou Liang; Feiming Wei; Yang Dong

doi:10.1117/12.750971

14 November 2007 Improved topographic correction approach for radiation of remote sensing image

Shumin Liu, Xingfa Gu, Hongyou Liang, Feiming Wei, Yang Dong

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67902O (2007) https://doi.org/10.1117/12.750971
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Shumin Liu, Xingfa Gu, Hongyou Liang, Feiming Wei, and Yang Dong "Improved topographic correction approach for radiation of remote sensing image", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902O (14 November 2007); https://doi.org/10.1117/12.750971

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KEYWORDS

Remote sensing

Vegetation

Statistical analysis

Earth observing sensors

Sun

Reflectivity

Atmospheric corrections

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