Remote Sensing Statistical Analysis Model and its Extensions
遥感影象统计分析及其扩展模型

In this paper, a particular review on traditional remote sensing statistical analysis model is made and their defects are analyzed from several aspects especially brought by the statistical assumption of its unimodal probability density functions and parametrical density distribution model. On the basis of traditonal statistical model, some intelligent ways of extensions are proposed, where the major attentions are paid on integration with geo knowledge processing unit and computation with other artificial intelligence approaches such as fuzzy logic, conventional geo analysis, robust statistics, neural computation, and evolutionary computation. Finally, several detailed approaches of extensions of statistical remote sensing analysis model, such as RBF, GMDD, and knowledge integrated model, are introduced and discussed briefly.