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Remote sensing technologies are very useful due to their wide practical applications. The latest new technology, hyperspectral imaging, could be a valuable tool to study and evaluate many economic and environmental issues. It offers an advanced monitoring technique in more detailed spectral information than previous remote sensing systems. The present work is devoted to the study of segmentation of...
This paper presents the effects of multiscale windowed denoising of spectral signatures before segmentation of hyperspectral images. In the proposed denoising approach it is intended to exploit both spectral and spatial information of the hyperspectral images by using wavelets and principal component analysis. The windowed structure incorporated for this method exploits spatial information by making...
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