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Reduction of Polarization-State Spread in Phase-Distortion Mitigation by Phasor-Quaternion Neural Networks in PolInSAR

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Neural Information Processing (ICONIP 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1332))

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Abstract

This paper presents that phasor-quaternion neural networks (PQNN) reduce not only the phase singular points (SP) in interferometric synthetic aperture radar (InSAR) but also the spread of polarization states in polarimetric SAR (PolSAR). This result reveals that the PQNN deals with the dynamics of transversal wave, having phase and polarization, in an appropriate manner. That is, the phasor quaternion is not just a formally combined number but, instead, an effective number realizing generalization ability in phase and polarization space in the neural networks.

This work was supported in part by JSPS KAKENHI under Grant No. 18H04105, and also in part by Cooperative Research Project Program of the Research Institute of Electrical Communication, Tohoku University. The Advanced Land Observing Satellite (ALOS) original data are copyrighted by the Japan Aerospace Exploration Agency (JAXA) and provided under JAXA Fourth ALOS Research Announcement PI No. 1154 (AH).

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Authors and Affiliations

  1. Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan

    Kohei Oyama & Akira Hirose

Authors
  1. Kohei Oyama
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  2. Akira Hirose
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Correspondence to Akira Hirose .

Editor information

Editors and Affiliations

  1. Department of AI, Ping An Life, Shenzhen, China

    Haiqin Yang

  2. Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

    Kitsuchart Pasupa

  3. City University of Hong Kong, Kowloon, Hong Kong

    Andrew Chi-Sing Leung

  4. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong

    James T. Kwok

  5. School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand

    Jonathan H. Chan

  6. The Chinese University of Hong Kong, New Territories, Hong Kong

    Irwin King

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Oyama, K., Hirose, A. (2020). Reduction of Polarization-State Spread in Phase-Distortion Mitigation by Phasor-Quaternion Neural Networks in PolInSAR. In: Yang, H., Pasupa, K., Leung, A.CS., Kwok, J.T., Chan, J.H., King, I. (eds) Neural Information Processing. ICONIP 2020. Communications in Computer and Information Science, vol 1332. Springer, Cham. https://doi.org/10.1007/978-3-030-63820-7_60

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  • DOI: https://doi.org/10.1007/978-3-030-63820-7_60

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