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
Keywords : geophysical signal processing geophysical techniques image classification image processing terrain mapping Band pass filters Continuous wavelet transforms Data mining Discrete wavelet transforms Filter bank Frequency Hysteresis Remote sensing Urban areas Wavelet transforms
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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