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Proceedings Paper

Airport detection using a simple model, multisource images, and altimetric informations
Author(s): Alain Michel
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Paper Abstract

A fuzzy set approach has been developed to integrate heterogeneous data such as SAR and optronic radiometry, old cartography and Digital Elevation Model in a multi-criterial decision process, in order to detect airport. We also use a simple airport model with well known specifications (runway length longitudinal admitted slope, orientation constraint between runway and taxiways,...). This automatic algorithm works in 3 steps: runway detection on ERS-l image, taxiways detection on SPOT image an buildings detection on both images and has been successfully tested on different locations. The scanned area covers more than 300 square miles for each image.

Paper Details

Date Published: 30 December 1994
PDF: 12 pages
Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); doi: 10.1117/12.196760
Show Author Affiliations
Alain Michel, Office National de Recherches Aerospatiales (France)

Published in SPIE Proceedings Vol. 2315:
Image and Signal Processing for Remote Sensing
Jacky Desachy, Editor(s)

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