基于人工神经网络的遥感图像处理方法研究  

On Remotely Sensed Image Processing Based on Artificial Neural Network

作　　者：吐热尼古丽[1] 张晓帆[2] 

机构地区：[1]新疆师范大学生命与环境科学学院,乌鲁木齐830054 [2]新疆大学资源与环境科学学院,乌鲁木齐830046

出　　处：《重庆科技学院学报（自然科学版）》2006年第1期79-82,共4页Journal of Chongqing University of Science and Technology：Natural Sciences Edition

基　　金：国家自然科学基金项目(49862002);国家973项目(2001CB409809);新疆高校项目(XJEDU2004107)

摘　　要：根据遥感图像的特性,介绍了人工神经网络在遥感图像分析与处理领域的各种应用,重点分析了基于人工神经网络的遥感图像分类与增强、遥感图像复原与重建、图像边缘检测与纹理信息提取等方法,在MATLAB平台下对基于BP神经网络的个别算法进行了实现,并说明了神经网络方法在遥感图像分析与处理技术中的应用潜力。Different kinds of artificial neural network application in remotely sensed image analysis and processing are introduced according to features of remotely sensed image. Among them remotely sensed image classification and enhancement, restoration and reconstruction, edge detection and texture information extraction based on artificial neural network are mainly analyzed. The algorithm based on BP neural network using MATLAB and the great potentiality of artificial neural network application in remotely sensed image analysis and processing technology are presented.

关 键 词：人工神经网络 遥感图像 MATLAB 

分 类 号：TP389.1[自动化与计算机技术—计算机系统结构]