Similarity-Based Unsupervised Band Selection for Hyperspectral Image Analysis

  • Qian Du, He Yang
  • Published 2008 in IEEE Geoscience and Remote Sensing Letters


Band selection is a common approach to reduce the data dimensionality of hyperspectral imagery. It extracts several bands of importance in some sense by taking advantage of high spectral correlation. Driven by detection or classification accuracy, one would expect that, using a subset of original bands, the accuracy is unchanged or tolerably degraded… (More)
DOI: 10.1109/LGRS.2008.2000619


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