| 基于数据场的空间目标行为挖掘(英文) |
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| 引用本文： | 王树良,伍爵博,程峰,金红,曾寔.基于数据场的空间目标行为挖掘(英文)[J].地球空间信息科学学报,2009,12(3):202-211. |
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| 作者姓名： | 王树良 伍爵博 程峰 金红 曾寔 |
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| 作者单位： | International School of Software;Wuhan University;State Key Laboratory of Information Engineering in Surveying;Mapping and Remote Sensing; |
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| 基金项目： | Supported by the National 973 Program of China(No.2006CB701305,No.2007CB310804); the National Natural Science Fundation of China(No.60743001); the Best National Thesis Fundation (No.2005047); the National New Century Excellent Talent Fundation (No.NCET-06-0618) |
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| 摘 要： |
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| 关 键 词： | 数据场 空间 挖掘 目标行为 |
Behavior mining of spatial objects with data field |
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| Shuliang Wang,Juebo Wu,Feng Cheng,Hong Jin,Shi Zeng.Behavior mining of spatial objects with data field[J].Geo-Spatial Information Science,2009,12(3):202-211. |
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| Authors: | Shuliang Wang Juebo Wu Feng Cheng Hong Jin Shi Zeng |
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| Institution: | (1) International School of Software, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China;(2) State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China |
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| Abstract: | The advanced data mining technologies and the large quantities of remotely sensed Imagery provide a data mining opportunity
with high potential for useful results. Extracting interesting patterns and rules from data sets composed of images and associated
ground data can be of importance in object identification, community planning, resource discovery and other areas. In this
paper, a data field is presented to express the observed spatial objects and conduct behavior mining on them. First, most
of the important aspects are discussed on behavior mining and its implications for the future of data mining. Furthermore,
an ideal framework of the behavior mining system is proposed in the network environment. Second, the model of behavior mining
is given on the observed spatial objects, including the objects described by the first feature data field and the main feature
data field by means of the potential function. Finally, a case study about object identification in public is given and analyzed.
The experimental results show that the new model is feasible in behavior mining.
Supported by the National 973 Program of China(No.2006CB701305,No.2007CB310804), the National Natural Science Fundation of
China (No.60743001), the Best National Thesis Fundation (No.2005047), the National New Century Excellent Talent Fundation
(No.NCET-06-0618). |
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| Keywords: | behavior mining data field spatial object identification spatial data mining |
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