TOPOGRAPHIC CORRECTION USING BRIGHTNESS NORMALIZATION APPROACH FROM HYPERSPECTRAL REMOTE SENSING IMAGES

被引：0

作者：

Pal, M. K. ^{[1
]}

Porwal, A. ^{[1
]}

机构：

[1] Indian Inst Technol, Ctr Studies Resources Engn, Bombay 400076, Maharashtra, India

来源：

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年

关键词：

remote sensing; hyperspectral; Hyperion; topographic correction; brightness normalization; SATELLITE IMAGERY; VEGETATION;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

In this paper, we have developed a radiometric brightness normalization based approach by using digital elevation data and local statistics for topographic correction from hyperspectral remote sensing images. Previous approaches for calibration and removal of topographic illumination effect from Hyperspectral and other remotely sensed datasets are reviewed and tested along with the proposed algorithm on a Hyperion image of a study area in Western India. The results indicate that the proposed algorithm is effective in topographic correction.

引用

页码：5658 / 5661

页数：4

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