摘要
随着遥感技术的飞速发展,遥感影像计算机分析也随之成为遥感技术应用的一个重要组成部分。传统的遥感影像分析方法大都是基于影像光谱特征的计算机自动分类,忽略了影像的空间结构信息,精度不高。研究了利用灰度共生矩阵提取遥感影像的纹理特征,实现了MATLAB下采用监督分类方法应用最短距离分类器及滤波完成了全色遥感影像的分类分析。
With the rapid development of remote sensing technology, computer analysis of remote sensing images becomes an important part of it. Traditional remote sensing image analysis are based on the spectral characteristics of the computer image automatic classification, ignored the spatial structure of image information, the accuracy is not high. This paper studies the extraction of texture features of remote sensing images using gray - scale extraction of co - occurrence matrix, realized the classification and analysis for panchromatic remote sensing image using the shortest distance classifier and filter of the supervised classification methods under MATLAB.
出处
《测绘与空间地理信息》
2009年第2期71-74,共4页
Geomatics & Spatial Information Technology
关键词
纹理特征
监督分类
MATLAB
灰度共生矩阵
texture features
supervised classification
MATLAB
co - occurrence matrix
