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Proceedings Paper

Artificial intelligence for networks recognition in remote sensing images
Author(s): Jean-Marc Gilliot; Jean-Louis Amat
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Paper Abstract

We describe here a knowledge-based system, NEXSYS (Nextwork EXtraction SYStem) which was designed for the recognition of communication networks in SPOT satellite images. NEXSYS is a frame-based system and uses a co-operative and distributed structure based on a blackboard architecture. Communication networks in SPOT images are composed of thin linear segments. Segments are extracted using mathematical morphology and a Hough transform. An intermediate image representation composed of geometric primitives is obtained. Then an expert module is able to process the segments at the symbolic level trying to recognize networks.

Paper Details

Date Published: 17 December 1993
PDF: 12 pages
Proc. SPIE 1989, Computer Vision for Industry, (17 December 1993); doi: 10.1117/12.164867
Show Author Affiliations
Jean-Marc Gilliot, Univ. Rene Descartes (France)
Jean-Louis Amat, advance and Univ. Rene Descartes (France)


Published in SPIE Proceedings Vol. 1989:
Computer Vision for Industry
Donald W. Braggins, Editor(s)

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