A Constrained Band Selection Method Based on Information Measures for Spectral Image Color Visualization

Abstract : We present a new method for the visualization of spectral images, based on a selection of three relevant spectral channels to build a Red-Green-Blue composite. Band selection is achieved by means of information measures at the first, second and third orders. Irrelevant channels are preliminarily removed by means of a center-surround entropy comparison. A visualization-oriented spectrum segmentation based on the use of color matching functions allows for computational ease and adjustment of the natural rendering. Results from the proposed method are presented and objectively compared to four other dimensionality reduction techniques in terms of naturalness and informative content.
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IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2011, PP (99), pp.1-12. <10.1109/TGRS.2011.2158319>
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Dernière modification le : jeudi 3 novembre 2011 - 08:58:32
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Steven Le Moan, Alamin Mansouri, Yvon Voisin, Jon Yngve Hardeberg. A Constrained Band Selection Method Based on Information Measures for Spectral Image Color Visualization. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2011, PP (99), pp.1-12. <10.1109/TGRS.2011.2158319>. <hal-00637700>

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