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Remote Sensing Image Visualization Using Double Layers

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3 Author(s)
Shangshu Cai ; Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS ; Qian Du ; Moorhead, R.

Remote sensing imagery has relatively low spatial resolution. Since different materials/objects may be present in the area covered by a pixel, the pixel reflectance can be considered as the linear mixture of reflectance of these materials/objects (i.e., endmembers). Thus in remote sensing image processing we deal with mixed pixels instead of pure pixels as in traditional digital image processing. A multi-spectral or hyper-spectral image has tens to hundreds of spectral bands. How to display the plentiful information contained in such a 3D image cube is a challenging problem. In this paper, we will propose a visualization technique that employs two layers to integrate the mixture information (i.e., endmembers and their functional abundances) in each pixel With user-friendly interactive tools, images can be displayed at any desired level of details.

Published in:

Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on

Date of Conference:

July 31 2006-Aug. 4 2006

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