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Proceedings Paper

Thin linear network extraction NEXSYS: a knowledge-based system for SPOT images
Author(s): Jean-Marc Gilliot; Jean-Louis Amat; Georges Stamon
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Paper Abstract

The purpose of this paper is to describe a knowledge-based system for detection and interpretation of thin linear networks in remote sensing images. The proposed system : NEXSYS (Network Extraction System) is based on a mixed object-oriented / rule-based approach. It is built on a frame-based representation and contains three levels of processing: a) A low level for segmentation, using mathematical morphology. b) An intermediate level for line tracking guided by a Hough transform. c) A high level for interpretation. A prototype implementation has been written in LISP, C, using the Knowledge Engineering Environment (KEE), on a Sun Sparc IPC 4/40 station.

Paper Details

Date Published: 12 January 1993
PDF: 11 pages
Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); doi: 10.1117/12.139117
Show Author Affiliations
Jean-Marc Gilliot, Univ. Paris V--Univ. Rene Descartes (France)
Jean-Louis Amat, ADVANCE and Univ. Paris V--Univ. Rene Descartes (France)
Georges Stamon, Univ. Paris V--Univ. Rene Descartes (France)


Published in SPIE Proceedings Vol. 1771:
Applications of Digital Image Processing XV
Andrew G. Tescher, Editor(s)

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