FR1.R3.8

LAND COVER CLASSIFICATION WITH CPOLINSAR IMAGE VIA M-DELTA DECOMPOSITION AND OPTIMAL POLARIMETRIC COHERENCE COEFFICIENT

Cheng Xing, Tsinghua University, China; Liying Xu, Shanghai Institute of Satellite Engineering, China; Junjun Yin, University of Science and Technology Beijing, China; Jian Yang, Tsinghua University, China

Session:
SAR Polarimetry: Theory and Applications

Track:
Invited Sessions

Presentation Time:
Fri, 2 Oct, 13:20-13:30 (UTC)
Fri, 2 Oct, 21:20-21:30 China Standard Time (UTC +8)
Fri, 2 Oct, 15:20-15:30 Central Europe Summer Time (UTC +2)
Fri, 2 Oct, 06:20-06:30 Pacific Daylight Time (UTC -7)

Session Co-Chairs:
Sang-Eun Park, Sejong University and Gabriel Vasile, CNRS / Grenoble INP
Session Manager:
Subhadip Dey

Presentation

Discussion

Resources

Session

FR1.R3.1: Assessment of PolSAR and InSAR Time-Series from the 2019 NASA AM-PM Campaign for Above-Ground Biomass Estimation
Marco Lavalle, Unmesh Khati, Gustavo Shiroma, Bruce Chapman, NASA Jet Propulsion Laboratory, United States
FR1.R3.2: POLSAR ANALYSIS OF COHERENT AND DIFFUSE DOUBLE-BOUNCE SCATTERING OCCURING WITHIN A VEGETATED MEDIUM
Ray Abdo, Laurent Ferro-Famil, IETR, France
FR1.R3.3: SPACEBORNE TRANSMITTER - STATIONARY RECEIVER BISTATIC SAR POLARIMETRY - EXPERIMENTAL RESULTS
Madalina Ciuca, Grenoble INP / University POLITEHNICA of Bucharest, France; Andrei Anghel, Remus Cacoveanu, University Politehnica of Bucharest, Romania; Gabriel Vasile, Michel Gay, CNRS / Grenoble INP, France; Silviu Ciochina, University Politehnica of Bucharest, Romania
FR1.R3.4: POLARIMETRIC GUIDED NONLOCAL MEANS COVARIANCE MATRIX ESTIMATION FOR DEFOLIATION MAPPING
Jørgen Agersborg, Stian Normann Anfinsen, UiT The Arctic University of Norway, Norway; Jane Uhd Jepsen, Norwegian Institute for Nature Research (NINA), Norway
FR1.R3.5: ANALYSIS OF SINGLE-POL AND QUAD-POL DAMAGE INDICATORS FOR EXTRACTION OF BUILDING DAMAGES CAUSED BY 2016 KUMAMOTO EARTHQUAKE
Sang-Eun Park, Yeji Lee, Minhwa Kim, Yoon Taek Jung, Sejong University, Korea (South)
FR1.R3.6: A New Way for Detecting Man-Made Targets and Structures within Forests using Time Series of Polarimetric SAR images.
Thibault Taillade, Laetitia Thirion-Lefevre, Régis Guinvarc'h, CentraleSupélec, France
FR1.R3.7: THE EFFECT OF HYBRID POLARIMETRIC DESCRIPTORS ON CLASSIFICATION ACCURACY OF VARIOUS LAND COVER TYPES
Varsha Turkar, Don Bosco College of Engineering, India; Shaunak De, Orbital Insight, United States; Anup Das, Space Application Center, ISRO, India; Sanjay Shitole, UMIT, S.N.D.T. Women’s University, India; Rinki Deo, Havard University, India; Kaushik Patnaik, Orbital Insight, United States
FR1.R3.8: LAND COVER CLASSIFICATION WITH CPOLINSAR IMAGE VIA M-DELTA DECOMPOSITION AND OPTIMAL POLARIMETRIC COHERENCE COEFFICIENT
Cheng Xing, Tsinghua University, China; Liying Xu, Shanghai Institute of Satellite Engineering, China; Junjun Yin, University of Science and Technology Beijing, China; Jian Yang, Tsinghua University, China