人工神经网络在遥感数字图像分类处理中的应用  

THE APPLICATION OF ARTIFICIAL NEURAL NETWORK TO CLASSIFICATION PROCESSING OF REMOTE SENSING DIGITAL IMAGES

作　　者：张宝光[1] 

机构地区：[1]天津师范大学地理系

出　　处：《国土资源遥感》1998年第1期21-27,共7页Remote Sensing for Land & Resources

摘　　要：近年来，随着人工神经网络系统理论的发展，神经网络技术日益成为遥感数字图像分类处理的有效手段，并有逐步取代最大似然法的趋势。本文重点讨论国外遥感图像分类处理研究中应用效果显著或应用前景广阔的一些神经网络方法。最后讨论了有关上述方法在遥感数据分类处理中实际应用的一些原则性问题。In recent years, with the development of the theory about Artificial Neural Network(ANN) system, the neural network technology is becoming increasingly an effective means of classification processing of remote senser digital images and beginning to replace the Maximum Likelihood Classifier(MLC). This paper discusses some ANN methods that have been very effectively applied abroad. these methods have vast prospects on digital image processing. At last, some principled problems about the practical application of the methods to remote sensing data classification are discussed.

关 键 词：人工神经网络 遥感 数字图像 分类 遥感数据 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]