基于BP网遥感影像分类研究与应用
Researeh on back-ProPagation neural network-based remote sensing image classification and applying
遥感影像分类技术作为遥感影像处理技术中最重要的一个分支,一直被人们所普遍重视。本文论述了BP神经网络在遥感影像监督分类方面的理论研究,同时将基于BP网分类结果与基于ERDAS软件监督分类结果进行对比。得出结论:前者比后者精度高。
Remote sensing image classification technology as a remote sensing image processing technologies in one of the most important branches, has been the universal attention. This paper discusses the BP neural networks in remote sensing images supervised classification of theoretical research.,while BP network will be based on classification and ERDAS software based on the supervised classification results were compared. Come to the conclusion: the former has higher accuracy than the latter.
郭嗣琮、刘丹、田野
遥感技术自动化基础理论
遥感影像BP神经网络监督分类
Remote sensing image Back-ProPagation neural networkSsupervised classification
郭嗣琮,刘丹,田野.基于BP网遥感影像分类研究与应用[EB/OL].(2008-04-28)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/200804-975.点此复制
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