Landuse Classification and Evaluation of Remote Sensing Image Based on Cloud Theory
Zhiyang Chen · Remote Sensing Information · 2010
The traditional landuse classification technology of remote sensing image is in a low level of automation and intelligence.The landuse classification of remote sensing image is an uncertain problem which contains random and fuzziness.The cloud model integrates fuzziness and random together,constituting mapping between qualitative and quantitative.According to the above,this article introduces the cloud theory,establishing a cloud mapping space based on gradation,aiming to solve the problem of landuse classification of remote sensing 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 the method by evaluation and contrast of the classification results.