任务感知的遥感信息服务动态组合方法

项目名称： 任务感知的遥感信息服务动态组合方法

项目编号： No.41201440

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 地理学

项目作者： 杨晓霞

作者单位： 成都理工大学

项目金额： 25万元

中文摘要： 随着多平台多传感器遥感技术的发展，遥感数据已经成为空间数据最主要的来源。但是由于缺乏有效的共享和增值应用手段，遥感数据快速获取与信息高效处理能力不足之间的鸿沟日益加剧。面向服务的思想为解决此问题提供了有潜力的途径，将遥感信息及其处理资源均作为服务对待，通过服务的发现与组合，实现分布式环境下的多源遥感信息及其处理资源的按需聚合与高效协同，从而满足更加复杂的应用需求。针对遥感信息处理服务组合的正确性与成功率难题，本申请提出任务感知的遥感信息处理服务动态组合方法，深入研究粗粒度、模糊的高层任务语义与细粒度、精确的底层服务语义之间的映射关系，主要包括：1）基于语义的遥感信息应用任务理解；2）顾及任务语义的遥感信息处理服务选择；3）自适应任务变化的遥感信息处理动态组合。

中文关键词： 地理信息服务；智能服务；任务感知；服务组合；

英文摘要： Remote sensing technology has been widely recognized for contributing to geospatial information efforts, due to the introduction of multi-platforms and multi-sensors.. But in many cases, raw remotely sensed images are not directly useful without further processing. Because the remotely sensed image processing demands large-scale, collaborative processing and massive storage capabilities, the effect and efficiency of remotely sensed image processing is far from the user's expectation. The emergence of Service Oriented Architecture (SOA) may make this challenge manageable. The SOA allows cooperation of data and process components among different organizational units and supports reusability and interoperability of components through the network to satisfy complex applications. Remotely sensed image processing services encapsulate all processing functions into services and combine them into a service chain to provide a value-added function. Automatic and intelligent service composition, if successful, can be of great value to the geospatial user community. It is a major challenge to select and chain appropriate remotely sensed image processing services for specific application task. Aiming at the correctness and quality of remotely sensed image processing service composition, a task-awared service dynamic compositi

英文关键词： geographic information service；intelligent service；task awared；service composition；