Abstract
Shadow is one of the universal features of high resolution remote sensing images. As an important symbol of image interpretation, shadow can reflect the height of ground objects and other information. But at the same time, the existence of shadow will affect the image interpretation, information recognition and extraction. Therefore, it is very necessary to study and extract shadow information in remote sensing image. In this paper, the image features of each band of the Yuan-Yuan-3 satellite were analyzed, and the shadow was extracted by the integrated method based on principal component transform and HIS transform. The research results show that the creation of shadow index on the basis of the two transformations can effectively enhance the spectral features of the shadow and effectively extract the shadow.
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