Remote sensing image classification method based on cloud theory
Zhao Jin · Engineering of Surveying and Mapping · 2014
The remote sensing image classification method based on cloud theory is compatible with fuzziness and randomness.Through the reverse cloud generator generating a cloud model,which digital characteristics has a cloud of subordinate function,the membership degree is calcalated using Xcondition cloud generator and the classification is realized by using maximum judging rules.By comparison with the traditional methods,the remote sensing image classification method based on cloud theory can improve the classification of uncertainty in the problem,which can improve the classification accuracy.