Multiple-point Simulation and Its Application and Development in RS Image Classification

Abstract

Multiple-point simulation(MPS) is one of the applications of multiple-point statistics in geology.It can simulate the complex geometry-structure by getting the conditional probability from training image through search-tree while the traditional geostatistics has little ability to capture the complex geometry-structure.When MPS is applied into remote sensing classification,it can help us to improve the traditional-pixel-by-pixel-classification accuracy by combining the structural and spectral information.This article firstly introduces the development of new classification method which is called CCSSM,and then discusses the revision of this methods.Furthermore,it extends CCSSM's application to the classification of the multiple-class from in the perspects of a theoretical and feasible way.