Hyperspectral Band Selection From Statistical Wavelet Models.

IEEE Transactions on Geoscience and Remote Sensing(2017)

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摘要
High spectral resolution brings hyperspectral images with large amounts of information, which makes these images more useful in many applications than images obtained from traditional multispectral scanners with low spectral resolution. However, the high data dimensionality of hyperspectral images increases the burden on data computation, storage, and transmission; fortunately, the high redundancy...
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关键词
Hyperspectral imaging,Feature extraction,Hidden Markov models,Redundancy,Wavelet transforms
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