Cloud detection based on HSI color space and SWT from high resolution color remote sensing imagery

Zhong Chen; Tao Deng; Heng Zhou; Song Luo

doi:10.1117/12.2030857

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27 October 2013 Cloud detection based on HSI color space and SWT from high resolution color remote sensing imagery

Zhong Chen, Tao Deng, Heng Zhou, Song Luo

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Proceedings Volume 8919, MIPPR 2013: Pattern Recognition and Computer Vision; 891907 (2013) https://doi.org/10.1117/12.2030857
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

Cloud is floating in the earth sky widely, irregularly and frequently. So it appears in the satellite imagery. The cloud in the remote sensing imagery especially high resolution remote sensing imagery and aerial image will largely reduce the remote sensing image quality and use ratio, hinder the further application and the subsequent processing. Cloud detection accurately is a necessary and important step in the remote sensing image data analysis processing. So, a new cloud detection method based on HSI color space and stationary wavelet transformation (SWT) according to the spectral properties of cloud and the different with other objects is proposed in this paper. First, transform the RGB to HSI of image; then SWT is implemented to achieve the low frequency; the last result of cloud detection is obtained by the segmentation and edge extraction use SOBLE. The experiments show that the approach can detect the cloud accurately, availably and quickly.

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Zhong Chen, Tao Deng, Heng Zhou, and Song Luo "Cloud detection based on HSI color space and SWT from high resolution color remote sensing imagery", Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 891907 (27 October 2013); https://doi.org/10.1117/12.2030857

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