12 January 1993 Thin linear network extraction NEXSYS: a knowledge-based system for SPOT images
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jean-Marc Gilliot, Jean-Marc Gilliot, Jean-Louis Amat, Jean-Louis Amat, Georges Stamon, Georges Stamon, } "Thin linear network extraction NEXSYS: a knowledge-based system for SPOT images", Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); doi: 10.1117/12.139117; https://doi.org/10.1117/12.139117
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