TU1.R16.12

Comparison of Machine Learning Methods for predicting Quad-Polarimetric parameters from Dual-Polarimetric SAR data

Katalin Blix, Martine M. Espeseth, Torbjørn Eltoft, UiT The Arctic University of Norway, Norway

Session:
POLSAR Analytic Techniques

Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Presentation Time:
Tue, 29 Sep, 13:50-14:00 (UTC)
Tue, 29 Sep, 21:50-22:00 China Standard Time (UTC +8)
Tue, 29 Sep, 15:50-16:00 Central Europe Summer Time (UTC +2)
Tue, 29 Sep, 06:50-07:00 Pacific Daylight Time (UTC -7)

Session Co-Chairs:
Tom Ainsworth, U.S. Naval Research Laboratory and Masanobu Shimada, University of Dendai
Session Managers:
Sujan Sapkota and Ivan Arias

Presentation

Not logged in.

Discussion

Not logged in.

Resources

Not logged in.

Session

TU1.R16.1: Further insights on the effects of surfactants on internal wave SAR signatures by means of the co-polarized phase difference
Carina Regina de Macedo, José Carlos Bastos da Silva, University of Porto, Portugal
TU1.R16.2: DUAL POLARIMETRIC SAR COVARIANCE MATRIX ESTIMATION USING DEEP LEARNING
Adugna Mullissa, Diego Marcos, Martin Herold, Johannes Reiche, Wageningen University, Netherlands
TU1.R16.3: ANALYSIS OF POLARIZATION ORIENTATION ANGLE ESTIMATION OF X-BAND POLSAR DATA AND EXPERIMENT INVESTIGATION
Zhiyong Suo, Yuan Guo, Xidian University, China; Zhiqiang Liao, Sichuan Aerospace Electronic Equipment Research Institute, China
TU1.R16.4: POLSAR IMAGE CLASSIFICATION VIA ROBUST LOW-RANK FEATURE EXTRACTION AND MARKOV RANDOM FIELD
Haixia Bi, Raul Santos-Rodriguez, Peter Flach, University of Bristol, United Kingdom
TU1.R16.5: COMPARISON OF TARGET DETECTION RESULTS IN A FOREST WHETHER THE BRANCHES ARE COVERED WITH SNOW BASED ON P-BAND AIRBORNE SAR QUAD-POL IMAGES
Peng Li, University of Chinese Academy of Sciences, China; Dacheng Liu, Robert Wang, Yunkai Deng, Fengjun Zhao, Department of Space Microwave Remote Sensing System, China
TU1.R16.6: Metric Learning based Fine-grained Classification for POLSAR Imagery
Jun Ni, Yunzhe Jia, Qiang Yin, Yongsheng Zhou, Fan Zhang, Beijing University of Chemical Technology, China
TU1.R16.7: SYNERGIC USE OF SAR AND OPTICAL DATA FOR ESTIMATION OF SOIL MOISTURE IN VEGETATIVE REGION
Nidhi Verma, Pooja Mishra, Neetesh Purohit, Indian Institute of Information Technology Allahabad, India
TU1.R16.8: STUDY ON POLARIMETRIC SCATTERING CHARACTERISTICS BASED ON DIFFERNENT BAND SAR IMAGES
Zheng Yu Luo, Shu Cheng You, Yu Hang Gan, Ke Liu, Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of China, China; Chang Li, National Quality Inspection and Testing Center for Surveying and Mapping Products, China; Yun He, Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of China, China
TU1.R16.9: ISCE DOCKER TOOLS: AUTOMATED RADIOMETRIC TERRAIN CORRECTION AND IMAGE COREGISTRATION OF UAVSAR MLC DATA
Simon Kraatz, Paul Siqueira, Shannon Rose, University of Massachusetts at Amherst, United States
TU1.R16.10: SYNERGETIC USE OF MORPHOLOGICAL AND RADAR PARAMETER FOR LUNAR WATER ICE DETECTION
Urvi Shroff, Bindi Dave, CEPT University, India; Shiv Mohan, PLANEX-PRL, India
TU1.R16.11: PORT DETECTION IN POLARIMETRIC SAR IMAGES BASED ON THREE-COMPONENT DECOMPOSITION
Chun Liu, Jiangbin Zheng, Xuan Nie, Northwestern Polytechnical University, China
TU1.R16.12: Comparison of Machine Learning Methods for predicting Quad-Polarimetric parameters from Dual-Polarimetric SAR data
Katalin Blix, Martine M. Espeseth, Torbjørn Eltoft, UiT The Arctic University of Norway, Norway