The Open UniversitySkip to content

Multi-Polarization Methods to Detect Damages Related to Earthquakes

Ferrentino, Emanuele; Nunziata, Ferdinando; Migliaccio, Maurizio and Marino, Armando (2018). Multi-Polarization Methods to Detect Damages Related to Earthquakes. In: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 22-27 Jul 2018, Valencia, Spain, pp. 1938–1941.

DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


In this study, multi-polarimetric features extracted from dual-polarimetric (DP) Synthetic Aperture Radar (SAR) data collected by the Sentinel-l SAR mission are exploited to analyze damages due to earthquakes. First, conventional single-polarization features, based on the coherence between pre- and post-event imagery, are analyzed using both the co-polarized and the cross-polarized channels to point out that the information carried on the two channels is different. Then, a coherent dual-polarimetric feature, based on the inter-channel coherence, is proposed. Results show that the latter feature allows to detect the changes after an earthquake using only two SAR acquisitions, i.e.; before and after the earthquake. Finally, a change detection algorithm based on the eigenvalues of the difference of covariance matrices, is proposed. Experimental results show that the DP information allows to improve the results obtained by conventional single polarization change detection techniques.

Item Type: Conference or Workshop Item
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 58506
Depositing User: ORO Import
Date Deposited: 04 Jan 2019 09:08
Last Modified: 29 Mar 2019 10:41
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU