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文章基本信息

  • 标题:A Robust Change Detection Methodology for Topographical Applications
  • 本地全文:下载
  • 作者:G.A. Lampropoulosa ; T. Liua ; C. Armenakis
  • 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 B2
  • 页码:772-777
  • 出版社:Copernicus Publications
  • 摘要:In this paper, several classification methods are presented and the results are compared. The definition of "layer" and the method to create it are then introduced. Based on" layer", a multiple level change detection algorithm is proposed, which gives the details of the changes in each region and is demonstrated to be an easy, effective and reliable method. Experimental results are provided using RADARSAT images, which have been registered with the automated registration algorithm of A.U.G. Signals that is currently available under the distributed processing system www.signalfusion.com
  • 关键词:Distributed Processing; Change Detection; Feature Extraction; and Classification
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