17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

WE5.V20.4

PHYSICS-AWARE TRAINING DATA TO IMPROVE MACHINE LEARNING FOR SEA ICE CLASSIFICATION FROM SENTINEL-1 SAR SCENES

Qiang Wang, Anthony Dougeris, Torbjorn Eltoft, UiT the Arctic University of Norway, Norway
Session:
Physics Aware Machine Learning for Synthetic Aperture Radar Applications Oral Virtual
Track:
Invited Sessions
Location:
Virtual Room 20
Presentation Time:
Wed, 20 Jul, 20:50 - 21:05 Malaysia Time (UTC +8)
Wed, 20 Jul, 14:50 - 15:05 Central European Time (UTC +2)
Wed, 20 Jul, 12:50 - 13:05 UTC
Wed, 20 Jul, 08:50 - 09:05 Eastern Time (UTC -4)
Session Co-Chairs:
Zhongling Huang, Northwestern Polytechnical University and Datcu Mihai, German Aerospace Center
Session Manager:
Lee Teng Tan
Presentation
Discussion
Resources
No resources available.
Session WE5.V20
WE5.V20.1: ALEATORIC UNCERTAINTY EMBEDDED TRANSFER LEARNING FOR SEA-ICE CLASSIFICATION IN SAR IMAGES
Ying Liu, Zhongling Huang, Junwei Han, Northwestern Polytechnical University, China
WE5.V20.2: COMPLEX-VALUED NEURAL NETWORKS FOR POLARIMETRIC SAR SEGMENTATION USING PAULI REPRESENTATION
Jose Agustin Barrachina, ONERA / Centralesupelec, France; Chengfang Ren, Centralesupelec, France; Christèle Morisseau, Gilles Vieillard, ONERA, France; Jean-Philippe Ovarlez, ONERA / CentraleSupelec, France
WE5.V20.3: DESIGN OF THE PHYSICALLY INTERPRETABLE SAR TARGET RECOGNITION NETWORK COMBINED WITH ELECTROMAGNETIC SCATTERING CHARACTERISTICS
Yi Li, Lan Du, Xidian University, China
WE5.V20.4: PHYSICS-AWARE TRAINING DATA TO IMPROVE MACHINE LEARNING FOR SEA ICE CLASSIFICATION FROM SENTINEL-1 SAR SCENES
Qiang Wang, Anthony Dougeris, Torbjorn Eltoft, UiT the Arctic University of Norway, Norway
WE5.V20.5: A COMPARATIVE STUDY OF MULTI-BAND POLARIMETRIC SAR IMAGES BASED ON DEEP LEARNING AND H-ALPHA-WISHART CLASSIFICATION METHOD
Yan Jin, Zezhong Wang, Suzhou Aerospace Information Research Institute, China; Jiankun Chen, University of Chinese Academy of Sciences, China; Xiaolan Qiu, Aerospace Information Research Institute, Chinese Academy of Sciences, China