DocumentCode :
1811365
Title :
Analysis and classification of SAR images by a knowledge-based approach
Author :
Dellepiane, S. ; Serpico, S.B. ; Vernazza, G.
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
fYear :
1988
fDate :
14-17 Nov 1988
Firstpage :
1207
Abstract :
A knowledge-based system is developed that allows cooperation (drive by a control structure) among its different processing levels to attain high efficiency in the recognition task. In addition, an adaptive approach is applied to texture analysis by fractals, appropriate filterings, and Karhunen-Loeve methodology for image fusion. The architecture of the system is based on a heterarchical control structure, with a blackboard-type database, and on some backtracking facilities operating at the various processing levels
Keywords :
computerised pattern recognition; computerised picture processing; knowledge based systems; radar theory; Karhunen-Loeve methodology; SAR images; backtracking; blackboard-type database; classification; computerised pattern recognition; filterings; fractals; heterarchical control structure; image fusion; knowledge-based system; radar theory; texture analysis; Adaptive filters; Artificial intelligence; Control systems; Filtering; Fractals; Image analysis; Image segmentation; Image texture analysis; Low pass filters; Noise reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
Type :
conf
DOI :
10.1109/ICPR.1988.28472
Filename :
28472
Link To Document :
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