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Proceedings Paper

Integrating map knowledge in satellite image analysis
Author(s): Shan Yu; Gerard Giraudon; Marc Berthod
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Paper Abstract

With the rapid scientific and technical advances in remote sensing, digital image processing becomes an important tool for quantitative and statistical analysis of remotely sensed images. These images contain most often complex natural scenes. Robust interpretation of such images requires the use of different sources of information about the scenes under consideration. This paper presents our work on analyzing remotely sensed images by integrating multispectral data, map knowledge and contextual information. An overview of the approach is first described. Then the utilization of map knowledge to improve the effectiveness and robustness of urban area detection is explained in more details.

Paper Details

Date Published: 30 December 1994
PDF: 11 pages
Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); doi: 10.1117/12.196707
Show Author Affiliations
Shan Yu, Institut National de Recherche en Informatique et en Automatique (France)
Gerard Giraudon, Institut National de Recherche en Informatique et en Automatique (France)
Marc Berthod, Institut National de Recherche en Informatique et en Automatique (France)


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

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