DocumentCode :
3529354
Title :
An a-contrario approach for unsupervised change detection in radar images
Author :
Robin, A. ; Mercier, G. ; Moser, G. ; Serpico, S.
Author_Institution :
ITI, GET/TELECOM Bretagne, Brest, France
Volume :
4
fYear :
2009
fDate :
12-17 July 2009
Abstract :
This paper presents a new approach for unsupervised change detection in pairs of Synthetic Aperture Radar (SAR) images. As changes to detect can have various sizes and intensities which are a priori unknown in most applications, we propose a multiscale approach without considering any a priori information. Using multiscale series of a cumulant-based Kullback-Leibler divergence (CKLD) measure computed between two dates, changes are characterized as areas where the CKLD values vary a lot when the scale varies. In a probabilistic a-contrario framework, a measure of meaningfulness of such an evolution through scale is derived, leading to a criterion free of parameter. Results are presented using a pair of SAR images acquired before and after the volcanic eruption of the Nyiragongo in January 2002 (Congo), showing the robustness of the method with respect to the number of false alarms.
Keywords :
geophysical image processing; radar imaging; synthetic aperture radar; volcanology; AD 2002 01; CKLD; Congo; Nyiragongo volcanic eruption; a-contrario approach; cumulant-based Kullback-Leibler divergence; multiscale approach; multiscale series; synthetic aperture radar images; unsupervised change detection; Area measurement; Detectors; Earth; Laser radar; Radar detection; Radar imaging; Robustness; Statistics; Synthetic aperture radar; Telecommunications; Change detection; Kullback-Leibler divergence; multiscale; radar images;
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.2009.5417327
Filename :
5417327
Link To Document :
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