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Methods for classifying land-cover types on the basis of image texture through processing of synthetic-aperture radar (SAR) imagery are described. A combination of statistical characteristics, as well as matrices of conversion probabilities for amplitudes of readings of SAR images, are used in the analysis of texture values. The results of the processing of SIR-C SAR images recorded from aboard the Shuttle spacecraft using these methods are presented for the purpose of classification of forest types.
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Захаров et al. (1998) studied this question.
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