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：2005
卷号：XXXVI-2/W25
出版社：Copernicus Publications
摘要：A growing attention has been paid to spatial data mining and knowledge discovery (SDMKD). This paper presents the principles of SDMKD, proposes three new techniques, and gives their applicability and examples. First, the motivation of SDMKD is briefed. Second, the intension and extension of SDMKD concept are presented. Third, three new techniques are proposed in this section, i.e. SDMKD-based image classification that integrates spatial inductive learning from GIS database and Bayesian classification, cloud model that integrates randomness and fuzziness, data field that radiate the energy of observed data to the universe discourse. Fourth, applicability and examples are studied on three cases. The first is remote sensing classification, the second is landslide-monitoring data mining, and the third is uncertain reasoning. Finally, the whole paper is concluded and discussed
关键词：spatial data mining; principles; cloud model; date fields; applications
