基于遥感的塞罕坝机械林场树种分类研究

随着遥感应用的不断推广,各应用领域对遥感图象的监督分类结果的精度要求越来越高。在监督分类中有两个非常关键的问题:一是训练样本选取;二是分类器选择。本论文应用监督分类中的不同分类器对塞罕坝机械林场进行树种分类,对其结果进行分析比较,选择合适的分类器提高分类精度。

Studies on the tree species classification with remote sensing in Saihanba Mechanized Forest Farm

With the widely application of Remote Sensing,the request for the accuracy of supervised classification is getting higher and higher in each application fields.There are two key issues in the supervised classification:one is the training sample selection;the other is the classifier selection.This paper studies the tree species classification in Saihanba Mechanized Forest Farm with different classifier,also compares and analyzes the result,selects the suitable classifier to improve the classifying accuracy.