Spectral–Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields

Abstract

Hyperspectral remote sensing technology allows one to acquire a sequence of possibly hundreds of contiguous spectral images from ultraviolet to infrared. Conventional spectral classifiers treat hyperspectral images as a list of spectral measurements and do not consider spatial dependences, which leads to a dramatic decrease in classification accuracies. In… (More)
DOI: 10.1109/TGRS.2013.2263282

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