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基于粗集挖掘法的GIS和RS融合
Combining GIS with RS based on rough set mining method
【摘要】 为了更为有效地利用矿区现有的各类数据,以便在现有数据的基础上发现更多的“深层知识”。以某矿区试验地的TM遥感影像数据为例,将空间数据挖掘方法与地理信息系统和遥感技术进行了有效的结合,提出了两种具体的集成模式。并应用了粗糙集的挖掘方法提取了土壤侵蚀度与植被、坡度和耕地等相关“深层知识”,得出了相关特征规则,为矿区土地合理利用开发提供有益支持,
【Abstract】 In order to efficiently utilize some kinds of data in mine area.so that some “deep knowledge” can be availably acquired with,an example of TM remote imagery data of some mining area,GIS and RS are effectively combined by using spatial data mining and knowledge discovery,and two kinds of detailed integration models are put forward.Rough sets were executed for some relations,which are “deep knowledge” between soil erosion and three elements,such as vegetation cover and slope and cropland are acquired,at the same time some correlative feature rules are obtained.Effective support to land use and land reclaimation can be provided.
【Key words】 spatial data mining; knowledge discovery; association rule; rough; GIS;
- 【文献出处】 辽宁工程技术大学学报 ,Journal of Liaoning Technical University , 编辑部邮箱 ,2006年01期
- 【分类号】P208;P237
- 【被引频次】6
- 【下载频次】345