Title :
Mars: a multiple agent image interpretation system
Author :
Hongbiao, Zhao ; Lizhu, Zhou
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
Mars is both a spectrum and a structured knowledge based multiple agent interpretation system for remote sensing images. It represents the required knowledge in various schema closest to its original form by a blackboard structure. Mars uses a working-frame to hold a description of the traits and hypotheses addressed by agents. It supports a set of standard operations used to manipulate the data in the blackboard by all agents to integrate heterogeneous knowledge representation. By using a combined method of dynamic trait extraction and level conflict resolution respectively, Mars handles conflicts within and among agents. This paper discusses the design and implementation of Mars, including its architecture, mechanisms and implementation environment, and future work
Keywords :
blackboard architecture; brightness; cooperative systems; explanation; feature extraction; image colour analysis; image texture; remote sensing; software agents; Mars; blackboard structure; brightness; color; dynamic trait extraction; earth resource satellites; extracting features; heterogeneous knowledge representation; hypotheses; image traits; level conflict resolution; light stimulation; multiple agent image interpretation system; remote sensing images; shadow; shape; size; texture; traits; Brightness; Communication system control; Computer science; Data mining; Feature extraction; Image analysis; Knowledge representation; Mars; Pixel; Remote sensing; Satellites;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.669138
