Artificial intelligence for networks recognition in remote sensing images

Jean-Marc Gilliot; Jean-Louis Amat

doi:10.1117/12.164867

17 December 1993 Artificial intelligence for networks recognition in remote sensing images

Jean-Marc Gilliot, Jean-Louis Amat

Proceedings Volume 1989, Computer Vision for Industry; (1993) https://doi.org/10.1117/12.164867
Event: Electronic Imaging Device Engineering, 1993, Munich, Germany

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.

Citation Download Citation

Jean-Marc Gilliot and Jean-Louis Amat "Artificial intelligence for networks recognition in remote sensing images", Proc. SPIE 1989, Computer Vision for Industry, (17 December 1993); https://doi.org/10.1117/12.164867

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