遥感影像地物分类识别的研究与实现

The Research and Implementation of Remote Sensing Image feature classification recognition

遥感影像地物分类识别在环境监测、地质调查等领域都有着广阔的应用前景。对遥感影像进行光谱特征和纹理特征提取,并利用支撑向量机(SVM)进行地物分类是遥感影像地物识别的一种常用的方法。文章详细介绍了该方法的理论、思路及实现过程,并基于ENVI和MATLAB环境进行实验仿真证明其有效性,具有良好的研究和学习意义。

Remote Sensing Image feature classificationrecognition shows a very promising perspective for environmental moni- toring,geological survey and other fields.CombiningSpectrum feature and texture feature and using support vector machine （SVM ） forRemote Sensing Image feature classification is a commonly used method.This paper introduces the theory, idea and implementation process of the method in detail and proves its validity based on E N V I and M A T L A B simulation experiments, which is of good research and study significance.