Skip to Main content Skip to Navigation
Directions of work or proceedings

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
Document type :
Directions of work or proceedings
Complete list of metadata

https://hal.inria.fr/hal-01087877
Contributor : Shan Yu <>
Submitted on : Thursday, November 27, 2014 - 3:43:01 AM
Last modification on : Saturday, January 27, 2018 - 1:30:49 AM

Identifiers

  • HAL Id : hal-01087877, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

229