Objects Hyperspectral Features Identification on the Base of Fuzzy Linear Regression and Fuzzy Similarity Measures
نویسندگان
چکیده
The classification process support algorithms of shooting hyperspectral data, realizing objects’ identification of the Earth’s surface by means of their hyperspectral features’ analysis, received from the processed space images with application of various similarity measures, are considered. Identification algorithms on the base of Euclidean distance similarity measure, angular similarity measure and fuzzy similarity measure are considered. The use expediency of fuzzy linear regression in the algorithm of objects’ hyperspectral features’ identification is shown. Results of hyperspectral information processing with using of the offered algorithms are presented.
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