Title :
Detail-preserving change detection from amplitude SAR images
Author :
Garzelli, Andrea ; Zoppetti, Claudia
Author_Institution :
Dept. of Inf. Eng. & Math. Sci., Univ. of Siena, Siena, Italy
Abstract :
This paper presents a modified version of the information-theoretic feature in [1] for change detection in multitemporal synthetic aperture radar (SAR) imagery. The proposed method is capable of capturing small-area structural changes between the two images, by maintaining at the same time the capability of rejecting statistical changes due to speckle patterns or co-registration inaccuracies. This improvement is obtained by bootstrapping the original procedure by means of an adaptive preliminary selection of potentially changed pixels driven by the logarithm of the pixel ratio. Experimental results have been carried out on true SAR images acquired by the COSMO-SkyMed constellation.
Keywords :
geophysical techniques; image registration; image sensors; radar detection; radar imaging; statistical analysis; synthetic aperture radar; COSMO-SkyMed constellation; adaptive preliminary selection; amplitude SAR image acquisition; bootstrapping; coregistration inaccuracy; detail-preserving change detection; information-theory; multitemporal synthetic aperture radar imagery; pixel ratio logarithm; speckle pattern; statistical analysis; Clustering algorithms; Earthquakes; Estimation; Feature extraction; Joints; Remote sensing; Synthetic aperture radar; Change detection; information-theoretic features; non-parametric methods; synthetic aperture radar (SAR);
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723457
