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

Shan Yu (1)

1 PASTIS - Scene Analysis and Symbolic Image Processing

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

Mots clés: 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

Domaines: Informatique [cs]

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. pp.62-64. ⟨hal-01087877⟩