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Hyperspectral Imagery Visualization Using Double Layers

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3 Author(s)
Shangshu Cai ; Mississippi State Univ., Mississippi State ; Qian Du ; Moorhead, R.J.

Displaying the abundant information contained in a hyperspectral image is a challenging problem. Almost any visualization approach reduces the information content. However, we want to maximize the amount of object or material information presented. A visualization approach that uses classification as an intermediate step may maximize the information transfer. In our research, we are particularly interested in the display of mixed-pixel classification results, since most pixels in a remotely sensed hyperspectral image are mixed pixels. In this paper, we propose a visualization technique that employs two layers to integrate the mixture information (i.e., endmembers and their abundances) in each pixel. Images can be displayed with any desired level of details.

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Geoscience and Remote Sensing, IEEE Transactions on  (Volume:45 ,  Issue: 10 )