【作者】 杨晓霞； 朱庆； 李海峰；

【Author】 YANG Xiaoxia, ZHU Qing, LI Haifeng State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China

【机构】 武汉大学测绘遥感信息工程国家重点实验室；

【摘要】 针对面向复杂应用任务的遥感信息处理服务选择难题,本文将服务选择问题转化为面向任务语义的处理服务分类问题,提出一种基于语义信息分类的遥感信息处理服务选择方法。首先,根据遥感信息处理服务的多重语义聚类成若干服务簇;其次,基于信息熵在处理服务各个属性上的下降速度构建决策树,发现任务语义与处理服务语义之间的层次关联关系,并转换为可以理解的知识形式——服务选择规则;最后,将服务选择规则用于服务簇的分类选择。实验结果表明,本文提出的方法能够显著提高遥感信息处理服务选择的准确性。更多还原

【Abstract】 It is a major challenge to select appropriate remotely sensed information processing services to perform a specific application task. Aiming at the low correctness in remotely sensed information processing service selection, a novel service selection approach is proposed in this paper. It consists of three main steps: service cluster pre-process, knowledge discovery and service selection. In the pre-process, the similar candidate services are grouped into clusters called service clusters as the objects to be selected to distinguish services detailed and sharp down the search space. In the second step, decision–tree, a classification method, is used to discover the latent relation between specific task and services. Finally, the knowledge is used to decide which service clusters to perform the task. The approach is illustrated by an example from the domain of remote sensing based earthquake disaster management.更多还原