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Boosted band ratio feature selection for hyperspectral image classification

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Fu, Zhouyu; Caelli, Terry; Liu, Nianjun; Robles-Kelly, Antonio

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Band ratios have many useful applications in hyperspectral image analysis. While optimal ratios have been chosen empirically in previous research, we propose a principled algorithm for the automatic selection of ratios directly from data. First, a robust

CollectionsANU Research Publications
Date published: 2006
Type: Conference paper
URI: http://hdl.handle.net/1885/32932
Source: Proceedings of the 18th International Conference on Pattern Recognition
DOI: 10.1109/ICPR.2006.334

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