Boosted band ratio feature selection for hyperspectral image classification
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
|Collections||ANU Research Publications|
|Source:||Proceedings of the 18th International Conference on Pattern Recognition|
|01_Fu_Boosted_band_ratio_feature_2006.pdf||276.3 kB||Adobe PDF||Request a copy|
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