Monitoring Structures and Infrastructures by Multitemporal COSMO-SkyMed SAR images

DIT-PRJ-10-054

Status NOT active project
DISI role Partner
Project type Research Project
Dimension International
Acquisition date 2010-01-01
Start date 2010-11-11
End date 2010-11-11
SAP code 40101751

Project details

Project astract This project aims at developing and validating multitemporal image analysis methodologies for multirisk monitoring of critical structures and infrastructures exploiting COSMO-SkyMed (CSK) Synthetic Aperture Radar (SAR) data.<br/>The capability of monitoring structures and infrastructures in the context of the management of disasters such as fires, landslides, floods, etc., has a dramatic impact on human, social, and economic activities. The technical contribution of remote sensing to this multirisk monitoring capability heavily relies on the availability of very high resolution (VHR), all-weather, day/night, and short revisit time data. This is further enforced by the 7th Framework Program of the European Union that stresses the use of new national & LEO satellites for GMES fast track services related to risk management (emergency) and land monitoring. In this perspective, CSK satellite constellation has a huge potential as a precious information source for monitoring human settlements and related infrastructures.<br/>The present project focuses on the development of image-processing and analysis methods for multirisk monitoring of infrastructures and urban areas, including contextual, multisensor, and multiscale change detection, multichannel data integration, and high-level interpretation functions. Advanced methodologies able to effectively exploit CSK data are developed and tested, with emphasis on combination of multiple views, VHR imaging, and short revisit time. The integration of CSK data with optical and ancillary data by data-fusion approaches is also investigated.
Keywords Remote sensing, Synthetic Aperture Radar (SAR), very high resolution images, man mad structures and infrastructures.
Fundings 271328 €
Partners
  • DISI - UniTN
  • DIBE-Universita' di Genova
  • Universita' di Pisa
  • Universita' di Pavia
  • Universita' di Siena
  • University of Boulder (Colorado
  • Telecom Bretagne (France)
  • INRIA Sophia Antipolis Mediterranee
  • Joint Research Center of the European Committee (JRC-EC)

DISI Sub-project details

Project astract Within the project the university of Trento is in charge for four different activities.<br/>The first on is related to the development of advanced unsupervised change detection methods with high sensitivity to geometrical details and high robustness to noisy components in homogeneous areas specifically developed for exploiting the characteristics of Cosmo-SkyMed data.<br/>The second activity is focused on the development of novel advanced unsupervised and semi-supervised techniques for the detection of man-made structures from meter resolution SAR images based on object analysis and composition aimed at change detection purposes with CSK images.<br/>The third activity aims at developing change detection approaches suitable to the joint use of CSK data and images acquired by different sensors (e.g., VHR optical images) or other data sources (i.e., ancillary data, etc.).<br/>The fourth activity aims at integrating in the methods developed in activity 2 other sources of information (e.g., multispectral images, cadastral maps, other ancillary information).
Keywords Synthetic Aperture Radar (SAR), very high resolution images, man mad structures and infrastructures, multitemporal images, change detection, multisource/multisensor analysis.
Fundings 46706 €
Manager Lorenzo Bruzzone