首页    期刊浏览 2024年11月24日 星期日
登录注册

文章基本信息

  • 标题:Rapidly Flood Extent Mapping Server Design and Experiment Using mathematical Morphology Recognition and Cooperated Disaster
  • 本地全文:下载
  • 作者:Y. Yamada ; T. Tingsanchali ; U.V. Khao
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2004
  • 卷号:XXXV Part B7
  • 页码:601-606
  • 出版社:Copernicus Publications
  • 摘要:Mathematical morphology operations and directional filters provide image feature measurements. Terrain feature recognition for SAR imagery combines both target's physical property and morphological image processing. This method should be adopted in order to solve the problem how to distinguish paddy fields from flood inundated areas by using the conventional SAR signal intensity change method. For example, if the Levee of paddy fields is above the inundated water surface, the paddy fields should be almost without damages in the consolidated farm lands. If the region of the low backscattering intensity level occupy large area, that can be most likely large water surface, flood-inundated areas. These calculations require only a snapshot of SAR image. This image processing procedure will have advantage over the flood disaster monitoring using SAR satellite data. The authors plan to make rapidly flood extent mapping server on the Internet for the early warning system of regional and agricultural flood damage. The analyzed satellite images showing flood extent superimposed on a geographic global map should be converted to an appropriative format image and stored into image database. The authors installed web server such as windows2000 server IIS, the ColdFusionMX as a web application server and the MapGuide server as a web map generator, the ImageWebServer as a swiftly showing tool bridged from the image database and the MapGuide server. The users of such web map only should prepare a web browser. They can see the flood extent image and global maps in the same browser. The SAR data should be the useful tool for risk management as monitoring change or disaster in the first situation. Recently, as web mapping standard is preparing, distributed map server design and its experiment is planning among JIRCAS, AIT and PDC
  • 关键词:Flood; Mathematical morphology; SAR; ALOS; Thailand; Terrain feature recognition
国家哲学社会科学文献中心版权所有