Riemannian Quaternion Self-Organizing Map to Overcome Degree-of-Polarization Error in Polarimetric Ground-Penetrating Radar
Author:
Affiliation:
1. Department of Electrical and Electronic Engineering, The University of Tokyo, Tokyo, Japan
Funder
JSPS KAKENHI
Cooperative Research Project Program of the Research Institute of Electrical Communication (RIEC), Tohoku University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10177768.pdf?arnumber=10177768
Reference27 articles.
1. Adaptive Subsurface 3-D Imaging Based on Peak Phase-Retrieval and Complex-Valued Self-Organizing Map
2. Millimeter-wave security imaging using complex-valued self-organizing map for visualization of moving targets
3. Quaternion Neural-Network-Based PolSAR Land Classification in Poincare-Sphere-Parameter Space
4. Averaged Stokes Vector Based Polarimetric SAR Data Interpretation
5. Complex-valued self-organizing map clustering using complex inner product in active millimeter-wave imaging
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1. Landmine Detection Based on Riemannian Phasor Quaternion Self-Organizing Map;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
2. Quaternion Neural Networks: A physics-incorporated intelligence framework [Hypercomplex Signal and Image Processing];IEEE Signal Processing Magazine;2024-05
3. Target Identification Using Dominant Scattering Mechanism Analysis of Full Polarimetric Ground Penetrating Radar for Cavity Detection;IEEE Transactions on Geoscience and Remote Sensing;2024
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