Proceedings of SPIE - The International Society for Optical Engineering Volume 7109, 2008, Article number 71090S Image and Signal Processing for Remote Sensing XIV; Cardiff, Wales; United Kingdom; 15 September 2008 through 18 September 2008; Code 74517 Information-theoretic multitemporal features for change analysis from SAR images (Conference Paper) Aiazzi, B.a , Alparone, L.b , Baronti, S.a , Garzelli, A.c , Nencini, F.c a Istituto di Fisica Applicata Nello Carrara, Consiglio Nazionale Delle Ricerche, 10 via Madonna del Piano, 50019 Sesto F.no (Florence), Italy b Dipartimento di Elettronica e Telecomunicazioni, University of Florence, 3 via Santa Marta, 50139 Florence, Italy c Dipartimento di Ingegneria dell'Informazione, University of Siena, 56 via Roma, 53100 Siena, Italy View additional affiliations View references (8) 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 dfficult 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 is 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 either burnt or flooded areas and is less sensitive than Log-Ratio to changes in acquisition angle between the two SAR images.
|Titolo:||Information-theoretic multitemporal features for change analysis from SAR images|
|Autori interni:||GARZELLI, ANDREA|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|