Yuefan Du
ABSTRACT
Shadow is an obstacle in the application of remote sensing image analysis. With more and more extensive using of high-resolution remote sensing images, shadow detection in remote sensing images plays a more important role. In accordance with the characteristics of urban high-resolution remote sensing images, we put forward an effective and automatic shadow detection method. In this method, shadow features are taken into consideration during specific images obtained, and then, image channels are expanded using specific images to segment shadow areas by improved clustering method. Finally, we can get shadow regions in remote sensing images after boundary refinement. Experiments show that the new method can accurately detect shadows from urban high-resolution remote sensing images.
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- Shadow Detection in High-Resolution Remote Sensing Image Based on Improved K-means
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