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2020 | OriginalPaper | Chapter

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

Authors : Kohei Oyama, Akira Hirose

Published in: Neural Information Processing

Publisher: Springer International Publishing

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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.

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Metadata
Title
Reduction of Polarization-State Spread in Phase-Distortion Mitigation by Phasor-Quaternion Neural Networks in PolInSAR
Authors
Kohei Oyama
Akira Hirose
Copyright Year
2020
Book
Neural Information Processing

Print ISBN: 978-3-030-63819-1

Electronic ISBN: 978-3-030-63820-7

Copyright Year: 2020

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

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