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  • 标题:CHANGE DETECTION USING THE INTEGRATION OF REMOTE SENSING AND GIS:A POLYGON BASED APPROACH
  • 本地全文:下载
  • 作者:Mustafa Turker
  • 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:2000
  • 卷号:XXXIII Part B2
  • 页码:560-564
  • 出版社:Copernicus Publications
  • 摘要:A per polygon image analysis scheme for detecting the changes in land cover conditions within existing land use boundaries stored as vector polygons in a Geographic Information System (GIS) is described. The scheme consists of three main steps: integration of remotely sensed and geographic data, the statistical testing of the pixels, and the assessment of the results. Change detection in the image is facilitated by a geographic database which contains the land use polygons and the attributes associated with them. The imagery is analysed in a polygon specific manner. The scheme provides a means to analyze the remotely sensed data by spatially related information stored in a database and the manipulative processing operations which a GIS supports. The concept is demonstrated by an example on the monitoring of the development of tree plantations
  • 关键词:Change Detection; RS/GIS Integration; Image Analysis; Database Updating
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