小清河滞洪区洪灾监测信息系统的研究与建立  

USING THE MODEL OF SELF-ORGANIZED NEURAL TREE TO THE CLASSIFICATION OF FORESTLANDS

作　　者：陈曦川[1] 

机构地区：[1]水利部遥感中心

出　　处：《国土资源遥感》1997年第3期40-45,共6页Remote Sensing for Land & Resources

基　　金：国家"八五"课题

摘　　要：应用机载合成孔径雷达监测洪水势态，离不开洪灾监测信息系统的支持，两者有机的结合，能充分发挥遥感和地理信息系统在防洪减灾应用中的优越性。本文以小清河滞洪区为实验区，从系统目标、数据层及其来源、数据编码、分析模型等几个方面，介绍了该区洪灾监测信息系统的建立情况。Through the information of forestlands obtained from remote sensing pictures of 692 land patches, this paper has studied the forestlands classification in the method of self-organizing neural tree model under the support of GIS. The results show that this method of classification has so many advantages, such as speed, accuracy and tolerence.

关 键 词：洪灾 信息系统 洪水 洪灾监测 遥感 河流 

分 类 号：P333.2[天文地球—水文科学] S422[水利工程—水文学及水资源]