首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于遥感的洪水灾害承灾体神经网络的提取方法探讨
引用本文:杨存建,魏一鸣.基于遥感的洪水灾害承灾体神经网络的提取方法探讨[J].灾害学,1998,13(4):1-6.
作者姓名:杨存建  魏一鸣
作者单位:中国科学院资源与环境信息系统国家重点实验室!北京,100101,中国科学院资源与环境信息系统国家重点实验室!北京,100101,中国科学院资源与环境信息系统国家重点实验室!北京,100101,中国科学院资源与环境信息系统国家重点实验室!北京,100101
基金项目:国家重中之重“九五”攻关课题!95-B02-02
摘    要:洪水灾害承文体信息的快速获取是洪水灾害评估的基础.卫星遥感所获得的遥感图象包含了有关该承灾体的空间分布信息.常规目视解译难以快速并准确地从遥感图象中提取这些信息.神经网络技术的发展为解决这一问题提供了新的工具.本文阐这了将神经网络用于从遥感图象中自动提取洪水灾害承文体的空间分布信息的基本原理和方法,并结合实例说明了这种方法的有效性

关 键 词:洪水灾害承文体  遥感图象  神经网络

A DISCUSSION ON APPLICATION OF NEURAL NETWORK TECHNIQUE IN EXTRACTION OF INFORMATION ON FLOOD DISASTER BEARER FROM REMOTE SENSING IMAGES
Yang Cunjian, Wei Yiming, Chen Deqing, Huang Shifeng.A DISCUSSION ON APPLICATION OF NEURAL NETWORK TECHNIQUE IN EXTRACTION OF INFORMATION ON FLOOD DISASTER BEARER FROM REMOTE SENSING IMAGES[J].Journal of Catastrophology,1998,13(4):1-6.
Authors:Yang Cunjian  Wei Yiming  Chen Deqing  Huang Shifeng
Abstract:Extraction of information on flood disaster bearer is the basis of hazard estimation. Satellite remote sensing images contain the information of spatial distribution of flood disaster bearers. It is difficult to extract rapidly and automatically this information from remote sensing image with traditional visual interpretation. The development of neural network technique provides a new means for resolving this problem. The principles and methods of using artificial neural network technique to automatically extract the information of flood disaster bearer are discussed in the paper.Its effectiveness is illustrated with an example.
Keywords:Flood disaster bearer  Remote sensing images  Artificial neural network  
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号