基于遥感的洪水灾害承灾体神经网络的提取方法探讨

A DISCUSSION ON APPLICATION OF NEURAL NETWORK TECHNIQUE IN EXTRACTION OF INFORMATION ON FLOOD DISASTER BEARER FROM REMOTE SENSING IMAGES

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。

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.