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Proceedings Paper

An information-theoretic feature for identifying changes in multitemporal SAR images: an evaluation for the detection of flooded areas
Author(s): Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Tommaso Moramarco; Claudia Pandolfo; Marco Stelluti
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Paper Abstract

Multitemporal analysis of Synthetic Aperture Radar (SAR) images has gained an ever increasing attention due to the availability of several satellite platforms with different revisit times and to the intrinsic capability of the SAR system of producing all-weather observations. As a drawback, automated analysis in general and change detection in particular are made difficult by the inherent noisiness of SAR imagery. Even if a preprocessing step aimed at speckle reduction is adopted, most of algorithms borrowed from computer vision cannot be profitably used. In this work, a novel pixel feature suitable for change analysis is derived from information-theoretic concepts. It does not require preliminary despeckling and capable of providing accurate change maps from a couple of SAR images. The rationale is that the negative of logarithm of the probability of an amplitude level in one image conditional to the level of the same pixel in the other image conveys an information on the amount of change occurred between the two passes. Experimental results carried out on two couples of multitemporal SAR images demonstrate that the proposed IT feature outperforms the Log-Ratio in terms of capability of discriminating flooded areas and outlining their borders.

Paper Details

Date Published: 18 October 2007
PDF: 8 pages
Proc. SPIE 6746, SAR Image Analysis, Modeling, and Techniques IX, 674609 (18 October 2007); doi: 10.1117/12.739490
Show Author Affiliations
Bruno Aiazzi, Istituto di Fisica Applicata Nello Carrara (Italy)
Luciano Alparone, Univ. degli Studi di Firenze (Italy)
Stefano Baronti, Istituto di Fisica Applicata Nello Carrara (Italy)
Tommaso Moramarco, Istituto di Ricerca per la Protezione Idrogeologica (Italy)
Claudia Pandolfo, Istituto di Ricerca per la Protezione Idrogeologica (Italy)
Marco Stelluti, Istituto di Ricerca per la Protezione Idrogeologica (Italy)


Published in SPIE Proceedings Vol. 6746:
SAR Image Analysis, Modeling, and Techniques IX
Claudia Notarnicola; Francesco Posa, Editor(s)

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