The cluster analysis and classification with training of multispectral data of Earth remote sensing
Автор: Asmus Vasily V., Buchnev Alexey A., Pyuatkin Valery P.
Журнал: Журнал Сибирского федерального университета. Серия: Техника и технологии @technologies-sfu
Статья в выпуске: 1 т.2, 2009 года.
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It is obtained questions, connected with the problem of choosing appropriate algorithms of recognition of multispectral data of Earth remote sensing. It is submitted the system of supervised classification, based on a strategy of maximum probability for vectors of indications having the normal distribution. It is described the system of cluster analysis, including an algorithm for K-means method and analyzing method of mode of multidimensional histogram.
Earth remote sensing, data recognition, supervised classification, unsupervised classification, cluster analysis, decision rule, classifier training, метод k-средних, k-means method, multidimensional histogram
Короткий адрес: https://sciup.org/146114483
IDR: 146114483
