A Case-based Reasoning Approach for Task-driven Remote Sensing Image Discovery under Spatial-Temporal Constrains

被引：0
|
作者：
Li M. [1 ,2 ,3 ,4 ]
Zhu X. [2 ]
Duan L. [3 ,4 ]
Guo W. [2 ]
Yao M. [1 ]
机构：
[1] Institute of Space Science and Technology, Nanchang University, Nanchang
[2] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan
[3] Key Laboratory of Environment Change and Resource Use in Beibu Gulf of Ministry of Education, Guangxi Teachers Education University, Nanning
[4] Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation, Guangxi Teachers Education University, Nanning
来源：
Zhu, Xinyan (geozxy@263.net) | 1600年 / Editorial Board of Medical Journal of Wuhan University卷 / 42期
关键词：
Analogical reasoning; Case-based reasoning; Remote sensing image discovery; Spatial data searching; Task-driven;
D O I：
10.13203/j.whugis20140823
中图分类号：
学科分类号：
摘要：
Remote sensing (RS) images are an important source of geospatial data. However, current approaches in task-driven RS images discovery establish links between tasks and RS image parameters directly, without spatial-temporal constraints, leading to hard maintenance and low query precision Moreover, the complex relationship between tasks and RS images under spatial-temporal constraints is difficult to model and represent by rules. Thus, this research proposes an location and time method that not only filters but also acts as spatial-temporal constraint in the discovery process, and exploits the relationships between tasks and RS data sources under spatial-temporal constraints through Case-based Reasoning (CBR). The RS application case representation model and similarity assessment model is proposed to support analogical reasoning in CBR. A prototype system was developed to validate this method. The results show that the method is a feasible approach that improves the service efficacy of remote sensing data. © 2017, Research and Development Office of Wuhan University. All right reserved.
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页码：768 / 774
页数：6
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