摘要
文章探讨了三层神经网络结构及其误差逆传播学习算法在遥感图像分类中的应用 ,并利用其技术优势对滇西红山试验区进行了研究实践 ,结果表明人工神经网络识别在遥感地质找矿研究中具有广泛的应用前景。
With the development of the ANN system theory, the Artificial Neural Network (AN N) technology is becoming an increasingly effective discrimination_classificatio n method for remote sensing image_processing. This paper deals with basic princi ples, technical advantages and means of ANN, and presents a case study carried o ut by the authors. Some basic problems on the practical application of the discr imination_classification method of ANN for remote sensing have been discussed in the paper. The authors hold that the discrimination_classification method of AN N is one of the most effective methods for detecting copper_polymetallic mineral ization image_anomalies in remote sensing for mineral exploration.
出处
《矿床地质》
CAS
CSCD
北大核心
2004年第1期123-128,共6页
Mineral Deposits
基金
国家基础研究规划 973项目"印度-亚洲大陆主碰撞带成矿作用"(编号 :2 0 0 2CB4 1 2 6 0 0 )的资助
关键词
地质学
人工神经网络
遥感数值图像
图像识别
找矿
Geology, artificial neural network, data image of remote se nsing, image discrimination, Hongshan, western Yunnan Province
