IEEE IGARSS 2022 || Kuala Lumpur, Malaysia || 17

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

Session:

Physics Aware Machine Learning for Synthetic Aperture Radar Applications Oral Virtual

Location:

Virtual Room 20

Presentation Time:

Wed, 20 Jul, 20:20 - 20:35 Malaysia Time (UTC +8)
Wed, 20 Jul, 14:20 - 14:35 Central European Time (UTC +2)
Wed, 20 Jul, 12:20 - 12:35 UTC
Wed, 20 Jul, 08:20 - 08:35 Eastern Time (UTC -4)

Session Co-Chairs:

Zhongling Huang, Northwestern Polytechnical University and Datcu Mihai, German Aerospace Center

Session Manager:

Lee Teng Tan

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

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