Urban Area Detection in SPOT Images Using Multi-Scale Technique and Map Knowledge

Shan Yu 1
1 PASTIS - Scene Analysis and Symbolic Image Processing
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : This paper presents a novel approach to urban area detection in SPOT images. A wavelet transform is first applied to the SPOT image, which results in two sets of multi-scale representations of the image: a high frequency information portion and a low frequency information portion. Knowledge from geographic map is then used as a guide to explore the low frequency information portion which favors detection of region information in the image. Urban areas are detected by a region growing method using a hysteresis technique
Type de document :
Direction d'ouvrage, Proceedings, Dossier
IGARSS'99 - IEEE 1999 International Geoscience and Remote Sensing Symposium, Jun 1999, Hamburg, Germany. 1, IEEE, pp.62-64, 1999
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https://hal.inria.fr/hal-01087877
Contributeur : Shan Yu <>
Soumis le : jeudi 27 novembre 2014 - 03:43:01
Dernière modification le : samedi 27 janvier 2018 - 01:30:49

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  • HAL Id : hal-01087877, version 1

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Shan Yu. Urban Area Detection in SPOT Images Using Multi-Scale Technique and Map Knowledge. IGARSS'99 - IEEE 1999 International Geoscience and Remote Sensing Symposium, Jun 1999, Hamburg, Germany. 1, IEEE, pp.62-64, 1999. 〈hal-01087877〉

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