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Spectral-Spatial Methods for Hyperspectral Image Classification. Review

Journal

Publisher

SPRINGER
DOI: 10.3103/S8756699018060079

Keywords

remote sensing; hyperspectral images; surface type classification; spectral and spatial features

Funding

  1. Federal Agency for Scientific Organizations [AAAA-A17-117052410034-6]

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Various methods of spectral-spatial classification of hyperspectral data are reviewed. Papers devoted to the most popular ways of using spatial information for increasing the accuracy of classification maps are considered. It is shown that the best results are obtained by using preprocessing of raw data before the procedures of pixel-wise spectral classification. Disadvantages, limits, and possible directions for developing existing methods are investigated and analyzed.

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