DocumentCode
2523376
Title
Is physical vulnerability helpful in SAR-based seismic damage assessment? A preliminary study
Author
Dell´Acqua, Fabio ; Lanese, Igor ; Polli, Diego Aldo ; Gamba, Paolo
Author_Institution
Inf. & Ind. Eng. Dept., Univ. of Pavia, Pavia, Italy
fYear
2012
fDate
12-14 Sept. 2012
Firstpage
36
Lastpage
40
Abstract
Remote sensing is proving very useful for identifying damage and planning support activities after an earthquake has stricken. Radar sensors increasingly show their value as a tool for damage detection, due to their shape-sensitiveness, their extreme versatility and operability all weather conditions. The previous work of our research group, conducted on 1-m resolution Spotlight images produced by COSMO-SkyMed, has led to the discovery of a link between some selected texture measures, computed on radar maps over single blocks of an urban area, and the damage found in these neighborhoods. Texture-to-damage correlation was used to develop a SAR-based damage assessment method, but significant residual within-class variability makes estimations sometimes unreliable. Among the possible remedies the injection of physical vulnerability data into the model was suggested. This paper reports on a preliminary attempt in this direction.
Keywords
earthquakes; geophysical image processing; geophysical techniques; image classification; remote sensing by radar; synthetic aperture radar; COSMO-SkyMed; SAR-based damage assessment method; SAR-based seismic damage assessment; Spotlight images; damage detection; damage identification; earthquake; physical vulnerability data; radar maps; radar sensors; remote sensing; residual within-class variability; support activity planning; texture-to-damage correlation; urban area; weather conditions; Buildings; Correlation; Earthquakes; Estimation; Indexes; Remote sensing; Synthetic aperture radar; Physical Vulnerability; Seismic Damage Assessment; Synthetic Aperture Radar; Urban Areas;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Radar and Remote Sensing (TyWRRS), 2012 Tyrrhenian Workshop on
Conference_Location
Naples
Print_ISBN
978-1-4673-2443-4
Type
conf
DOI
10.1109/TyWRRS.2012.6381099
Filename
6381099
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