支持向量机在遥感图像分析与处理中的应用

由于遥感影像数据具有多传感器、多平台、多时相、多光谱和多分辨率的海量数据特点,对其分析与处理具有一定的困难,而支持向量机作为一种新的学习方法,恰好能有效解决遥感图像处理中常见的困难.结合遥感图像和支持向量机的特性,重点分析了支持向量机在遥感图像分类、遥感图像压缩、遥感图像特征提取等方面的应用.对支持向量机在遥感图像分析与处理中的应用趋势及有待进一步研究的问题进行了探讨.

Application of Support Vector Machine in Remote Sensing Image Analysis and Processing

It is not easy to analyze and process remote sensing image due to the characters of its multiple sensors,platforms,time-dimensions,spectrums,resolutions and mass data.Support vector machine(SVM),as a new method of machine learning,is able to effectively solve these problems.By combining the features of remote sensing image and Support Vector Machine,the applications of Support Vector Machine in remote sensing image classification,remote sensing image Compression,and remote sensing image features extraction ...