The research on the shadow detection from high resolution remote sensing imagery

Zhong Chen; Heng Zhou; Tao Deng; Song Luo

doi:10.1117/12.2030998

26 October 2013 The research on the shadow detection from high resolution remote sensing imagery

Zhong Chen, Heng Zhou, Tao Deng, Song Luo

Proceedings Volume 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 892103 (2013) https://doi.org/10.1117/12.2030998
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

Shadow is one of the basic characteristics in urban remote sensed imagery. It affects the extraction of object’s edge, identification of objects and registration of images, so shadow detection has a great importance in urban remote sensing. In this paper, a kind of method with HSV is proposed to detect shadow from the color high resolution remote sensing imagery mainly through a series of processing steps including twice HSV transformation, self-adaptive segmentation, morphological closing operation and little area removing. At last, the ratio of the shadow is achieved according to the shadow area statistical analysis. The experiments show that the approach can detect the shadow accurately and availably.

Citation Download Citation

Zhong Chen, Heng Zhou, Tao Deng, and Song Luo "The research on the shadow detection from high resolution remote sensing imagery", Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 892103 (26 October 2013); https://doi.org/10.1117/12.2030998

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