A dual–polarimetric approach to earthquake damage assessment

ABSTRACT In this study, a novel physical approach is proposed to detect damages due to earthquakes using dual polarimetric (DP) coherent Synthetic Aperture Radar (SAR) imagery. An optimization method, aimed at enhancing scattering basis differences between measurements collected before and after the event, is designed exploiting Lagrange optimization of the difference between two polarimetric covariance matrices. A meaningful showcase is presented to demonstrate the soundness of the proposed approach that consists of processing Sentinel–1 C–band scenes related to 2016 Central Italy Earthquake. The proposed approach, which is contrasted with the conventional coherence based single– and dual–polarization approaches, results in the best sensitivity to damages.

[1]  Hong Zhang,et al.  Earthquake-Induced Building Damage Detection with Post-Event Sub-Meter VHR TerraSAR-X Staring Spotlight Imagery , 2016, Remote. Sens..

[2]  Irena Hajnsek,et al.  A Change Detector Based on an Optimization With Polarimetric SAR Imagery , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Motoyuki Sato,et al.  Polarimetric SAR Analysis of Tsunami Damage Following the March 11, 2011 East Japan Earthquake , 2012, Proceedings of the IEEE.

[4]  Motoyuki Sato,et al.  Tsunami Damage Investigation of Built-Up Areas Using Multitemporal Spaceborne Full Polarimetric SAR Images , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Motoyuki Sato,et al.  Urban Damage Level Mapping Based on Scattering Mechanism Investigation Using Fully Polarimetric SAR Data for the 3.11 East Japan Earthquake , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Yoshio Yamaguchi,et al.  Polarimetric SAR remote sensing of the 2011 Tohoku earthquake using ALOS/PALSAR , 2013 .

[7]  E. Perkalski,et al.  Cell-averaging CFAR for multiple-target situations , 1986 .

[8]  Yifang Ban,et al.  Unsupervised Change Detection in Multitemporal SAR Images Over Large Urban Areas , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[9]  Maurizio Migliaccio,et al.  Sea Oil Slick Observation Using Hybrid-Polarity SAR Architecture , 2015, IEEE Journal of Oceanic Engineering.

[10]  Jakob J. van Zyl,et al.  Change detection techniques for ERS-1 SAR data , 1993, IEEE Trans. Geosci. Remote. Sens..

[11]  Masashi Matsuoka,et al.  Building Damage Assessment Using Multisensor Dual-Polarized Synthetic Aperture Radar Data for the 2016 M 6.2 Amatrice Earthquake, Italy , 2017, Remote. Sens..

[12]  Paolo Gamba,et al.  Change Detection of Multitemporal SAR Data in Urban Areas Combining Feature-Based and Pixel-Based Techniques , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[13]  THE DUAL POLARISATION ENTROPY / ALPHA DECOMPOSITION , .

[14]  Alberto Alonso-González,et al.  An optimization of the difference of covariance matrices for PolSAR change detection , 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[15]  Shane R. Cloude,et al.  The Dual Polarization Entropy/Alpha Decomposition: A PALSAR Case Study , 2007 .

[16]  Eric Pottier,et al.  An entropy based classification scheme for land applications of polarimetric SAR , 1997, IEEE Trans. Geosci. Remote. Sens..

[17]  Maurizio Migliaccio,et al.  Knab Sampling Window for InSAR Data Interpolation , 2007, IEEE Geoscience and Remote Sensing Letters.

[18]  S. Cloude.  Polarisation: Applications in Remote Sensing , 2009 .

[19]  E. Pottier,et al.  Polarimetric Radar Imaging: From Basics to Applications , 2009 .

[20]  Christian Bignami,et al.  A multisensor approach for the 2016 Amatrice earthquake damage assessment , 2016 .

[21]  Xiaofeng Li,et al.  Polarimetric Analysis of Compact-Polarimetry SAR Architectures for Sea Oil Slick Observation , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[22]  C. Yonezawa,et al.  Decorrelation of SAR data by urban damages caused by the 1995 Hyogoken-nanbu earthquake , 2001 .

[23]  Thomas L. Ainsworth,et al.  Polarimetric Analysis of Dual Polarimetric SAR Imagery , 2008 .

[24]  J. Cihlar,et al.  Change detection with synthetic aperture radar , 1992 .

[25]  Masashi Matsuoka,et al.  Use of Satellite SAR Intensity Imagery for Detecting Building Areas Damaged Due to Earthquakes , 2004 .

[26]  Joseph A. C. Delaney.  Sensitivity analysis , 2018, The African Continental Free Trade Area: Economic and Distributional Effects.

[27]  Francesca Bovolo,et al.  Building Change Detection in Multitemporal Very High Resolution SAR Images , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[28]  Maurizio Migliaccio,et al.  A Multipolarization Analysis of Coastline Extraction Using X-Band COSMO-SkyMed SAR Data , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[29]  Manabu Watanabe,et al.  Detection of damaged urban areas using interferometric SAR coherence change with PALSAR-2 , 2016, Earth, Planets and Space.

[30]  Ferdinando Nunziata,et al.  A sensitivity analysis of dual-polarization features to damage due to the 2016 Central-Italy earthquake , 2018 .

[31]  Manabu Watanabe,et al.  Analysis of Urban Areas Affected by the 2011 Off the Pacific Coast of Tohoku Earthquake and Tsunami With L-Band SAR Full-Polarimetric Mode , 2012, IEEE Geoscience and Remote Sensing Letters.

[32]  Seishiro Ishii,et al.  Suppression of Weather Clutter by Means of Log‐Normal/CFAR Circuit Modified from CA LOG/CFAR Circuit , 2014 .

[33]  Si-Wei Chen,et al.  Urban Damage Level Mapping Based on Co-Polarization Coherence Pattern Using Multitemporal Polarimetric SAR Data , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[34]  Nazzareno Pierdicca,et al.  Satellite radar and optical remote sensing for earthquake damage detection: results from different case studies , 2006 .

[35]  Salvatore Barba,et al.  Minor shallow gravitational component on the Mt. Vettore surface ruptures related to Mw 6, 2016 Amatrice earthquake , 2016 .