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-4/W6
页码:319-324
出版社:Copernicus Publications
摘要:In view of the related research results of GIS and spatial analysis and according to the requirement of fuzzy spatial queries, this paper presents a spatial configuration rule mining and feature extracting method based on spatial association rule mining and fuzzy spatial relation reasoning. We detailed introduce the principle and method as well as application examples. A six mining steps established as follow: acquiring spatial data; selection of spatial predicates and knowledge representation; object recognition and extracting based on machine learning; reasoning objects' spatial relation; extracting spatial frequent itemset; discovering frequent patterns; synthetically evaluate the mining result in contrast to the query. Examples and their mining results were presented to illustrate the algorithm's validity