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Proceedings Paper

FEX: A Knowledge-Based System For Planimetric Feature Extraction
Author(s): John S Zelek
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Paper Abstract

Topographical planimetric features include natural surfaces (rivers, lakes) and man-made surfaces (roads, railways, bridges). In conventional planimetric feature extraction, a photointerpreter manually interprets and extracts features from imagery on a stereoplotter. Visual planimetric feature extraction is a very labour intensive operation. The advantages of automating feature extraction include: time and labour savings; accuracy improvements; and planimetric data consistency. FEX (Feature EXtraction) combines techniques from image processing, remote sensing and artificial intelligence for automatic feature extraction. The feature extraction process co-ordinates the information and knowledge in a hierarchical data structure. The system simulates the reasoning of a photointerpreter in determining the planimetric features. Present efforts have concentrated on the extraction of road-like features in SPOT imagery. Keywords: Remote Sensing, Artificial Intelligence (AI), SPOT, image understanding, knowledge base, apars.

Paper Details

Date Published: 12 October 1988
PDF: 5 pages
Proc. SPIE 0924, Recent Advances in Sensors, Radiometry, and Data Processing for Remote Sensing, (12 October 1988); doi: 10.1117/12.945697
Show Author Affiliations
John S Zelek, MacDonald Dettwiler (Canada)


Published in SPIE Proceedings Vol. 0924:
Recent Advances in Sensors, Radiometry, and Data Processing for Remote Sensing
Philip N. Slater, Editor(s)

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