Title
Rapid Damage Detection in the Bam Area Using Multitemporal SAR and Exploiting Ancillary Data
Abstract
In this paper, the problem of rapid earthquake damage detection in urban areas using multitemporal synthetic aperture radar data is addressed. It is shown that the combination of intensity and phase features enhances the damage pattern extracted from the data temporal stack using a spatially aware classifier. Moreover, the use of ancillary data, easily available for urban areas, further improves t...
Year
DOI
Venue
2007
10.1109/TGRS.2006.885392
IEEE Transactions on Geoscience and Remote Sensing
Keywords
Field
DocType
Earthquakes,Data mining,Radar detection,Synthetic aperture radar,Urban areas,Cities and towns,Geographic Information Systems,Focusing,Integrated optics,Optical sensors
Ancillary data,Homogeneous,Synthetic aperture radar,Remote sensing,Classifier (linguistics),City block,Mathematics,Computation
Journal
Volume
Issue
ISSN
45
6
0196-2892
Citations 
PageRank 
References 
37
3.21
10
Authors
3
Name
Order
Citations
PageRank
Paolo Gamba168292.97
Fabio Dell'Acqua247857.84
Giovanna Trianni39010.92