Land use classification and evaluation of RS image based on cloud model

Abstract

The traditional land use classification technology of remote sensing(RS) image is in a low level of automation and intelligence,land use classification of RS image is an uncertain problem which contains random and fuzziness,the cloud model integrates fuzziness and random together,constituting mapping between qualitative and quota. According to the above,this article introduces the cloud theory into land use classification of RS image,establishing a cloud mapping space based on gradation,aiming to solve the problem of land use classification of RS image. At the same time,this paper has constituted the result evaluating indicator system in aspect of the homogeneity indexes of the region and the boundary location,and has carried on the empirical analysis of the SPOT image of Nanhu area of Wuhan,elaborated the model construction process in depth,explored the serviceability of this method in this domain by the evaluation and the contrast of the classification results.