期刊名称：The International Arab Journal of Information Technology
印刷版ISSN：1683-3198
出版年度：2008
卷号：5
期号：3
出版社：Zarqa Private University
摘要：Multi-temporal remotely sensed images have proved to be of great interest for earth resource assessment and environment monitoring. Automatic or semi-automatic interpretation of these images becomes an important and complex task in computer vision for land use change detection. However, facing the complexity of such images, many classical image interpretation techniques become inefficient. In this paper, the proposed approach, based on multi-agent system and hierarchical blackboard architecture allows an intelligent, concise and flexible control of a multi-temporal scene interpretation. It proposes the combination of semantic network representing the generic description of the scene, and a state transition diagram, modeling the possible state transitions for each one of the classes of interest. This system produces a hierarchic description of the results as well as the structural context of the identified objects including the associated attributes. We illustrate the design and implementation of our system on a set of multi-temporal satellite images SPOT4 representing a center tunisian region for different dates in order to illustrate the potential of the proposed multi-temporal approach.
关键词：Multi-temporal remotely sensed images; interpretation; hierarchical blackboard architecture; multi-agent system
