Quantum Annealing Methods and Experimental Evaluation to the Phase-Unwrapping Problem in Synthetic Aperture Radar Imaging
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada
2. 1QB Information Technologies, Vancouver, BC, Canada
Funder
MITACS accelerate internship
Natural Sciences and Engineering Research Council of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
http://xplorestaging.ieee.org/ielx7/8924785/9669178/09721264.pdf?arnumber=9721264
Reference16 articles.
1. Accelerating Neural Network Ensemble Learning Using Optimization and Quantum Annealing Techniques
2. Deep learning and quantum annealing methods in synthetic aperture radar;kelany,2021
3. Convergent Tree-Reweighted Message Passing for Energy Minimization
4. Replica Monte Carlo Simulation of Spin-Glasses
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1. Quantum Kernel Methods for Insar Phase Unwrapping;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
2. Minimum-Length Chain Embedding for the Phase Unwrapping Problem on D-Wave's Pegasus Graph;2023 IEEE International Conference on Quantum Computing and Engineering (QCE);2023-09-17
3. Quantum Optimization for Phase Unwrapping in SAR Interferometry;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
4. An Efficient Phase Unwrapping Method Based on Unscented Kalman Filter;IEEE Journal on Miniaturization for Air and Space Systems;2023-06
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