DocumentCode
3530775
Title
Swimming pools localization in colour high-resolution satellite images
Author
Galindo, C. ; Moreno, P. ; González, J. ; Arévalo, V.
Author_Institution
Dept. of Syst. Eng. & Autom., Univ. of Malaga, Malaga, Spain
Volume
4
fYear
2009
fDate
12-17 July 2009
Abstract
Detecting abnd localizing objects from space, like roads, rivers, lakes, etc., is a challenging task with multiple applications in remote sensing. In this paper we address the detection of swimming pools in colour high-resolution images of urban areas acquired by the Quickbird satellite. The main motivation of this work is to survey and localize filled swimming pools during drought periods, fact that should be then punished by the local authorities. The proposed algorithm applies colour analysis for water detection and approximate segmentation, as an initial, rough localization, and active contours techniques to refine the pools´ shape. We have tested our algorithm in both satellite and aerial images with satisfactory results.
Keywords
geophysical image processing; hydrological techniques; hydrology; image colour analysis; image segmentation; remote sensing; Quickbird satellite; active contour techniques; aerial images; approximate segmentation; colour analysis; colour high resolution satellite images; drought periods; initial rough localisation; object detection; object localisation; pool shape refinement; swimming pool localisation; urban areas; water detection; Algorithm design and analysis; Image color analysis; Lakes; Local government; Object detection; Remote sensing; Rivers; Roads; Satellites; Urban areas; Colour high-resolution satellite images; Quickbird; Swimming-Pools localization;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location
Cape Town
Print_ISBN
978-1-4244-3394-0
Electronic_ISBN
978-1-4244-3395-7
Type
conf
DOI
10.1109/IGARSS.2009.5417425
Filename
5417425
Link To Document