中文    English
当前位置: 本站首页 » 科学研究 » 科研成果 » 正文

A Case-Based Reasoning Approach for Task-Driven Remote Sensing Image Discovery Under Spatial-Temporal Constraints

发布日期:2016-12-01 18:22:04 阅读次数:[3059]次 作者:

核心提示:来源出版物: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING

作者: Li, M (Li, Ming); Zhu, XY (Zhu, Xinyan); Guo, W (Guo, Wei); Yue, P (Yue, Peng); Fan, YX (Fan, Yaxin)
来源出版物: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING  卷: 9  期: 1  页: 454-466  DOI: 10.1109/JSTARS.2015.2503724  出版年: JAN 2016
摘要: Recent advances in earth observation technology have led to the generation of large numbers of remote sensing (RS) observations. As RS applications continue to increase in magnitude, major problems include how to discover and make quick and robust use of such data in spatial data infrastructures (SDIs). In this paper, a new RS image discovery method is proposed for discovering observational data based on task, location, and time. This method approaches location and time not only as filters but also as spatial-temporal constraints in the discovery process, and exploits the relationships between tasks and RS data sources under spatial-temporal constraints through case-based reasoning (CBR). In this method, cases are past experiences which comprise task, time, location, and image parameters, describing what images were used to satisfy a particular task, and at what time and place each discovery was made. CBR, given its similarity to assessment and result reasoning models, finds past cases that satisfy a user's query and generates image parameters for specific RS data needed to satisfy that request. A prototype called iGeoportal was developed to evaluate the effectiveness of the proposed method. Experiments show that it performs efficiently when discovering RS images and can be easily integrated into current SDIs through a service-oriented architecture.


版权所有:测绘遥感信息工程国家重点实验室   
联系地址: 中国·武汉市珞瑜路129号   邮编: 430079   E-mail:liesmars@whu.edu.cn
Tel/Fax:027-68778969(办公室) 027-68778229(国际交流办公室)027-68778525(研究生管理办公室)