Change Detection Based on Spatial Data Mining

نویسندگان

  • LI Deren
  • XIA Song
چکیده

Spatial data mining (SDM) and change detection (CD) are hot issues in the field of geospatial information processing. Considering the feasibility of discovering knowledge from spatial database and the demands of knowledge for change detection, the paper presents that change detection needs knowledge and technology of SDM should be integrated into applications of change detection. Special knowledge for change detection of linear feature, area feature and terrain are studied. Relationship between accuracy of change detection and errors of image registration is discussed. Change detection of linear feature, area feature and terrain based on SDM are investigated respectively. Change detection based on multivariate statistical analysis and training samples are analyzed. Land use/cover change detection based on SDM is discussed.

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تاریخ انتشار 2007