Title :
Development and validation of multitemporal image analysis methodologies for multirisk monitoring of critical structures and infrastructures
Author :
Serpico, Sebastiano B. ; Bruzzone, Lorenzo ; Corsini, Giovanni ; Emery, William J. ; Gamba, Paolo ; Garzelli, Andrea ; Mercier, Gregoire ; Zerubia, Josiane ; Acito, Nicola ; Aiazzi, Bruno ; Bovolo, Francesca ; Dell´Acqua, Fabio ; De Martino, Michaela ; Di
Author_Institution :
Univ. Genoa, Genoa, Italy
Abstract :
In the framework of the monitoring of structures and infrastructures from environmental disasters, the COSMO-SkyMed constellation has a huge potential, thanks to up to metric spatial resolution, short revisit time, and the day/night all-weather acquisition capability ensured by SAR. This paper focuses on the scientific results of the project “Development and validation of multitemporal image analysis methodologies for multirisk monitoring of critical structures and infrastructures,” funded by the Italian Space Agency. Several change-detection, data-fusion, and feature-extraction techniques, which were developed and experimentally validated in the project for COSMO-SkyMed imagery and for their integration with other data sources (including very high resolution optical data), are described and examples of processing results are discussed.
Keywords :
critical infrastructures; data acquisition; disasters; feature extraction; geophysical image processing; image fusion; radar imaging; remote sensing by radar; risk management; synthetic aperture radar; terrain mapping; COSMO-SkyMed constellation; COSMO-SkyMed imagery; Italian Space Agency; SAR; all-weather acquisition capability; change detection; critical infrastructure; critical structure; data fusion; data sources; environmental disaster; feature extraction technique; infrastructure monitoring; multirisk monitoring; multitemporal image analysis method; revisit time; spatial resolution; very high resolution optical data; Backscatter; Feature extraction; Marine vehicles; Monitoring; Optical imaging; Remote sensing; Synthetic aperture radar; Multirisk monitoring; change detection; data fusion; feature extraction; infrastructures; urban areas;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352359
