Paper
5 September 1989 A Knowledge-Based System For The Recognition Of Roads On SPOT Satellite Images
J. Van Cleynenbreugel, P. Suetens, F. Fierens, P. Wambacq, A. Oosterlinck
Author Affiliations +
Abstract
Due to the resolution of current satellite imagery (e.g. SPOT), the extraction of roads and linear networks from satellite data has become a feasible - although labour-intensive - task for a human expert. This interpretation problem relies on structural image recognition as well as on expertise in combining data sources external to the image data (e.g. topography, landcover classification). In this paper different knowledge sources employed by human interpreters are discussed. Ways to implement these sources using current knowledge-based tools are suggested. A practical case study of knowledge integration is described.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Van Cleynenbreugel, P. Suetens, F. Fierens, P. Wambacq, and A. Oosterlinck "A Knowledge-Based System For The Recognition Of Roads On SPOT Satellite Images", Proc. SPIE 1099, Advances in Image Compression and Automatic Target Recognition, (5 September 1989); https://doi.org/10.1117/12.960456
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KEYWORDS
Roads

Satellites

Satellite imaging

Earth observing sensors

Geographic information systems

Image segmentation

Photometry

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