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《Geomatics and Information Science of Wuhan University》 2008-01
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A Shadow Removal Method for High Resolution Remote Sensing Image

YANG Jun1 ZHAO Zhongming2 YANG Jian2(1 Laboratory of Lightning Physics and Protection,Chinese Academy of Meteorological Sciences,46 South Zhongguancun Avenue,Haidian District,Beijing 100081,China)(2 Institute of Remote Sensing Applications,Chinese Academy of Sciences,3 Datun Road,Chaoyang District,Beijing 100101,China)  
The shadow on the high resolution remote sensing image influences the image quality badly.An automatic property-based approach is presented for shadow removal of color image.The RGB image is first transformed into HSI color space,according as shadow regions has lower luminance and higher saturation than non-shadowed regions,threshold detection and small regions removal and morphological algorithm are performed to get accurate shadow mask.Then the shadow regions are matched to their adjacent non-shadowed regions on I component,S component and H component respectively,and by inverse HSI transform to finish shadow removal.The experiment result shows that this method can remove the influence of shadow effectively and does not change the pixel value of non-shadowed regions.
【Fund】: 国家863计划资助项目(2003AA135010);; 国家科技部科研院所技术开发研究专项基金资助项目
【CateGory Index】: TP751
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