Name
Abstract | ||
|---|---|---|
Satellite synthetic aperture radar (SAR) systems currently offer both very high resolutions and multiresolution acquisition capability, thus presenting a great potential for environmental monitoring and damage assessment applications. In this framework, change detection methods play a central role. In this paper, a novel unsupervised change detection method is proposed for multitemporal SAR images acquired at multiple resolutions. The method combines Markov random field modeling, line processes, linear mixtures, Bayesian estimation, generalized Gaussian distributions, and graph cuts with the aim of fusing the available multiresolution information to generate a change map at the finest of the observed resolutions. The proposed method is experimentally validated with multitemporal COSMO-SkyMed stripmap and polarimetric data. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IGARSS.2013.6723003 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
Bayes methods,Gaussian distribution,Markov processes,geophysical image processing,image resolution,remote sensing by radar,sensor fusion,synthetic aperture radar,Bayesian estimation,Markov random field modeling,generalized Gaussian distributions,graph cuts,line processes,linear mixtures,multiresolution SAR data fusion,multiresolution information,multitemporal COSMO-SkyMed stripmap data,multitemporal SAR images,polarimetric data,satellite synthetic aperture radar systems,unsupervised change detection,Markov random fields,Multiresolution fusion,generalized Gaussians,graph cuts,iterated conditional expectation,unsupervised change detection | Cut,Markov process,Change detection,Synthetic aperture radar,Computer science,Markov random field,Remote sensing,Artificial intelligence,Computer vision,Polarimetry,Pattern recognition,Sensor fusion,Gaussian | Conference |
ISSN | ISBN | Citations |
2153-6996 | 978-1-4799-1114-1 | 1 |
PageRank | References | Authors |
0.35 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabriele Moser | 1 | 919 | 76.92 |
| Serpico, S.B. | 2 | 560 | 48.52 |
| Gianni Vernazza | 3 | 378 | 50.89 |