Energy edge extraction method for super-spectral images

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School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China [1 ]
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Wuhan Daxue Xuebao (Xinxi Kexue Ban) | 2006年 / 2卷 / 132-135期
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摘要
The energy edge extraction method for super-spectral images is based on the characters of energy similarity and correlation between super-spectral signals. The energy edge map shows that the main edges between different ground objects can be detected, and these edges are not sensitive to noise. In comparison with other edge extraction methods, energy edge method is much more effective.
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