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Man–computer interactive method on cloud classification based on bispectral satellite imagery
Authors:Yu Fan  Liu Changsheng  Chen Weimin
Affiliation:Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Department of Atmospheric Physics, Nanjing Institute of Meteorology, Nanjing 210044
Abstract:A bispectral cloud classification method based on man-computer interactive way, i.e. a unit feature space clasification method (UFSCM), has been presented in this paper. Apart from land and water, six types of clouds including cumulonimbus, multilayer cloud system, thin / think cirrus, middle and low level clouds are recognized. The method has been tested by using more than two hundred samples, with total accuracy reaching 87.1%.
Keywords:Bispectral satellite imagery   Cloud classification   Unit feature space classification   Man-computer interactive method
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