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An information-theoretic feature for identifying changes in multitemporal SAR images: an evaluation for the detection of flooded areas (Contributo in atti di convegno)

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An information-theoretic feature for identifying changes in multitemporal SAR images: an evaluation for the detection of flooded areas (Contributo in atti di convegno) (literal)

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B. Aiazzi, L. Alparone, S. Baronti, Moramarco T., Pandolfo C., Stelluti M. (2007)
An information-theoretic feature for identifying changes in multitemporal SAR images: an evaluation for the detection of flooded areas
in SPIE Europe International Symposium on Remote Sensing 2007, Firenze, Italia, 17-21 Settembre 2007
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B. Aiazzi, L. Alparone, S. Baronti, Moramarco T., Pandolfo C., Stelluti M. (literal)

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http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=824015 (literal)

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Proceedings of SPIE Remote Sensing Europe 2007, SAR Image Analysis, Modeling and Techniques IX (literal)

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In: F. Posa, C. Notarnicola (Ed.): Proc. SPIE Remote Sensing Europe 2007, SAR Image Analysis, Modeling and Techniques XII, Florence, Italy, 17-21 Sep., SPIE Vol. 6746, Atti pubblicati in: SPIE Vol. 6746, SAR Image Analysis, Modeling and Techniques XII, C. Notarnicola, F. Posa (Eds.), n. 674609, Oct. 2007. (literal)

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Lavoro che propone un metodo avanzato basato su descrittori statistici derivati dalla teoria dell'informazione per il riconoscimento di aree allagate mediante immagini SAR multitemporali. (literal)

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IFAC-CNR C. Pandolfo, M. Stelluti, T. Moramarco: IRPI-CNR: Istituto di Ricerca per la Protezione Idrogeologica, Via Madonna Alta 126, 06128, Perugia. (literal)

Titolo

An information-theoretic feature for identifying changes in multitemporal SAR images: an evaluation for the detection of flooded areas (literal)

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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. (literal)

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