| 时空约束下任务驱动的遥感影像发现案例推理方法 |
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| 引用本文： | 李铭,朱欣焰,段炼,呙维,姚明.时空约束下任务驱动的遥感影像发现案例推理方法[J].武汉大学学报(信息科学版),2017,42(6):768-774. |
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| 作者姓名： | 李铭 朱欣焰 段炼 呙维 姚明 |
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| 作者单位： | 1.南昌大学空间科学与技术研究院, 江西 南昌, 330031 |
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| 基金项目： | 国家科技支撑计划2012BAH35B03国家自然科学基金41201405测绘遥感信息工程国家重点实验室开放基金16 (Key 04)广西地表过程与智能模拟重点实验室开放基金2015GXESPKF02江西省自然科学基金20151BAB207004 |
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| 摘 要： | 遥感应用任务与遥感影像的关联关系在时空约束下非常复杂，难以抽象且不易精确建模。通过任务发现遥感影像的方法直接在遥感应用任务和遥感影像之间建立关联，不仅关联关系维护困难，而且忽略了时空因素的影响，导致查询准确率不高。利用基于案例的推理技术，将难以抽象成规则和精确建模的任务与遥感影像在时空约束下的关联隐含在案例中，设计相应的类比推理模型，实现通过任务智能检索相关遥感影像。原型系统实验表明了该方法的可行性，并提升了遥感影像数据的服务效果。
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| 关 键 词： | 遥感影像发现 任务驱动 案例推理 类比推理 空间数据检索 |
| 收稿时间： | 2015-12-22 |
A Case-based Reasoning Approach for Task-driven Remote Sensing Image Discovery under Spatial-Temporal Constrains |
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| Abstract: | 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. |
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