SPECTRAL-SPATIAL METHODS FOR HYPERSPECTRAL IMAGE CLASSIFICATION. REVIEW
S. M. Borzov, O. I. Potaturkin
Institute of Automation and Electrometry, Siberian Branch, Russian Academy of Sciences, pr. Akademika Koptyuga 1, Novosibirsk, 630090 Russia
Keywords: дистанционное зондирование Земли, гиперспектральные изображения, классификация типов поверхностей, спектральные и пространственные признаки, remote sensing, hyperspectral images, surface type classification, spectral and spatial features
Abstract
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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