Paper
12 January 1993 Thin linear network extraction NEXSYS: a knowledge-based system for SPOT images
Jean-Marc Gilliot, Jean-Louis Amat, Georges Stamon
Author Affiliations +
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-Louis Amat, and 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); https://doi.org/10.1117/12.139117
Lens.org Logo
CITATIONS
Cited by 2 patents.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Image processing

Digital image processing

Hough transforms

Mathematical morphology

Sensors

Algorithm development

RELATED CONTENT

Ship detection in panchromatic images a new method and...
Proceedings of SPIE (March 02 2016)
Automatic recognition of road signs
Proceedings of SPIE (November 21 2002)
Detection Of Maneuvering Target Tracks
Proceedings of SPIE (December 19 1985)

Back to Top