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  • SAR polarimetry  (1)
  • polarization  (1)
  • 1
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    Ocean Remote Sensing with Synthetic Aperture Radar (2018)
    Basel, Beijing, Wuhan : MDPI
    Details
    Keywords: remote sensing ; ocean ; SAR ; microwave ; polarization ; coastal oceanography
    Description / Table of Contents: Mechanisms of SAR Imaging of Shallow Water Topography of the Subei Bank / Remote Sens. 2017, 9(11), 1203; doi:10.3390/rs9111203 --- Detection of Bivalve Beds on Exposed Intertidal Flats Using Polarimetric SAR Indicators / Remote Sens. 2017, 9(10), 1047; doi:10.3390/rs9101047 --- Exploring the Potential of Active Learning for Automatic Identification of Marine Oil Spills Using 10-Year (2004–2013) RADARSAT Data / Remote Sens. 2017, 9(10), 1041; doi:10.3390/rs9101041 --- Assimilation of Typhoon Wind Field Retrieved from Scatterometer and SAR Based on the Huber Norm Quality Control / Remote Sens. 2017, 9(10), 987; doi:10.3390/rs9100987 --- Performance Analysis of Ocean Surface Topography Altimetry by Ku-Band Near-Nadir Interferometric SAR / Remote Sens. 2017, 9(9), 933; doi:10.3390/rs9090933 --- Satellite Survey of Internal Waves in the Black and Caspian Seas / Remote Sens. 2017, 9(9), 892; doi:10.3390/rs9090892 --- Contextual Region-Based Convolutional Neural Network with Multilayer Fusion for SAR Ship Detection / Remote Sens. 2017, 9(8), 860; doi:10.3390/rs9080860 --- Refocusing of Moving Targets in SAR Images via Parametric Sparse Representation / Remote Sens. 2017, 9(8), 795; doi:10.3390/rs9080795 --- Modulation Model of High Frequency Band Radar Backscatter by the Internal Wave Based on the Third-Order Statistics / Remote Sens. 2017, 9(5), 501; doi:10.3390/rs9050501 --- Ku-Band Sea Surface Radar Backscatter at Low Incidence Angles under Extreme Wind Conditions / Remote Sens. 2017, 9(5), 474; doi:10.3390/rs9050474 --- Doppler Spectrum-Based NRCS Estimation Method for Low-Scattering Areas in Ocean SAR Images / Remote Sens. 2017, 9(3), 219; doi:10.3390/rs9030219 --- An Improved Shape Contexts Based Ship Classification in SAR Images / Remote Sens. 2017, 9(2), 145; doi:10.3390/rs9020145 --- GF-3 SAR Ocean Wind Retrieval: The First View and Preliminary Assessment / Remote Sens. 2017, 9(7), 694; doi:10.3390/rs9070694
    Pages: Online-Ressource (VIII, 352 Seiten)
    Edition: Printed Edition of the Special Issue Published in Remote Sensing
    ISBN: 9783038427193
    URL: http://www.mdpi.com/books/pdfview/book/529
    Language: English
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    E-BOOK
  • 2
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    Multi-polarization C-band SAR imagery to quantify damage levels due to the Central Italy earthquake (2021)
    Taylor & Francis
    Details
    Publication Date: 2021-12-06
    Description: This study analyzes the ability of polarimetric Synthetic Aperture Radar (PolSAR) measurements to quantify post-earthquake damages. To achieve this goal, a twofold task is addressed: on one side a processing chain, which exploits multi-polarization SAR features, and a decision-tree classifier is proposed to quantify the levels of damage in earthquake-affected urbanized areas using dual-polarimetric (DP) SAR imagery. On the other side, a new damage index is developed that allows a fair spatial intercomparison of building-by-building information, collected via ground surveys on the damaged areas, and SAR-derived damage maps. The proposed rationale is showcased using measurements related to the Central-Italy Earthquake occurred in 2016 where both Sentinel-1 DP imagery and ground-based information are available. Experimental results demonstrate the soundness of the proposed approach. The main outcomes can be summarized as follows: a) DP features perform better than single-polarization ones; b) DP features exhibit a larger sensitivity to lower damage grades if compared to the single polarization (SP) feature; c) the accuracy of the estimated damage levels depends on the requested granularity in the damage maps; d) the accuracy obtained using DP features spans from 52% up to 71% when five and two damage classes are considered, respectively.
    Description: Published
    Description: 5971–5986
    Description: 3T. Fisica dei terremoti e Sorgente Sismica
    Description: JCR Journal
    Keywords: remote sensing ; earthquake damage ; SAR polarimetry
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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    PAPER (OA)
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