Research and Implementation of Classification in Remote Sensing Image Based on Decision Tree Algorithm
基于决策树算法的遥感图像分类研究与实现*

In allusion to the traditional classification's shortcoming of low effect when dealing with remote sensing data that has complex spatial-character distributing,combining with tree-classification technology which using delaminating method,Classification and Regression Tree(CART) algorithm is improved,which is used largely in data mining.And an algorithm based on human-computer interaction is put forward,which is applied to remote sensing image classification with better flexibility and robust,also with simple and clear class structure,having achieved better classified effect.And a special data structure is designed to realize this classifying system in(VC ).Practice show that this system has good stability,alternateness and strong practicability.