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
https://hal.inria.fr/hal-01087877 Contributor : Shan YuConnect in order to contact the contributor Submitted on : Thursday, November 27, 2014 - 3:43:01 AM Last modification on : Friday, February 4, 2022 - 3:19:15 AM
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⟩