Journal of Real-Time Image Processing

, Volume 4, Issue 3, pp 195–203

Fast damage mapping in case of earthquakes using multitemporal SAR data

Special Issue


This work shows that earthquake damages in urban areas can be determined with an acceptable accuracy through the exploitation of multitemporal SAR data and ancillary information defining urban blocks. In this article, two different methodologies are presented: an unsupervised statistical analysis of the parameters of the models representing backscatterer intensity or coherence values for each block of the urban area under analysis, and a supervised approach which involves a multi-band/multi-temporal classification, performed using a Markov Random Field (MRF) classifier or a spatial Fuzzy ARTMAP (FA) classifier. The two procedures are compared by using ERS images acquired before and after the earthquake of Turkey in 1999.


Urban remote sensing Rapid mapping 

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  1. 1.SERCO, c/o ESA/ESRIN, EO Science and Applications Department D/EOP-SEPFrascatiItaly
  2. 2.Department of ElectronicsUniversity of PaviaPaviaItaly

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