人工神经网络及其在盐田水体遥感图像分类中的研究

The Artificial Neural Network and Its Research on Classifying in Remote Sensing Image of Salt Fields Water

卫星遥感技术的发展为盐业生产资源监测提供了有效的手段。文章首先介绍了遥感图像分类的原理及其常用方法,接着就人工神经网络基本概念和常用算法进行阐述,并着重介绍了反向传播网络(BP网络),最后以天津塘沽盐场区域为研究对象,用BP网络进行了盐田水体识别实验。

The development of satellite remote sensing technology provided effective means of monitor for the resource of salt industry production. Firstly,the principle and common method of remote sensing image classifications were be introduced in the text. Then the base concept of Artificial Neural Network and some common algorithms were be expounded, and the back propagation network （BP network） were be emphatically introduced. Finally,for example,the area of Tianjin Tanggu salina was be regarded as research object,the test of distinguishing for salt fields water by BP network was be done.