利用多平台遥感数据复合研究城市扩展的动态监测  

THE STUDY OF THE DYNAMIC MONITORING OF URBAN EXTENSION BY USING THE INTEGRATION OF MULTIPLATFORM REMOTELY SENSED DATA

作　　者：赵元洪[1] 田良虎 何侃 

机构地区：[1]浙江大学地球科学系

出　　处：《环境遥感》1992年第3期196-201,共6页

摘　　要：本文利用不同时期的多平台遥感数据,研究了城市动态扩展的监测方法。文中采用了分类结果复合方法,在高速发展的岳阳地区的试验中,取得了良好的效果。在遥感图像的城市信息提取方面,设计了多个不同大小的权系数模板,提取相应的频数矢量作为城市的结构信息。利用这种结构信息,对城市图像进行逐步的结构处理,最终精度在91.7％以上。试验表明,本方法不仅对于一个实用的动态监测系统是一种灵活、实用性较强的监测方法,而且是解决充分利用已有遥感信息资源的有效手段。The integration method of urban extension monitoring has been developed by using different period and multiplatform remotely sensed data in this paper. The better effect was obtained by using the integration method of classified images in the study of the rapidly developed Yueyang test area. In terms of urban information extraction of remote sensing image, various weight coefficient masks were designed to extract the relevant frequency vector as the urban contextual information. After progressively processing the urban image by using the contextual information, the final accuracy of classification is better than 91.7%. The test shows that the integration method of classified images is not only a flexible and practical method, but also a effective means to fully utilize the information sources of existed remotely sensed data.

关 键 词：动态监测 城市 扩展 信息源 多平台 

分 类 号：F291[经济管理—国民经济]