Deep Learning-Based Phase Unwrapping Method
Author:
Affiliation:
1. School of Automation, Guangxi University of Science and Technology, Liuzhou, Guangxi, China
2. School of Electronic Engineering, Guangxi University of Science and Technology, Liuzhou, Guangxi, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10210563.pdf?arnumber=10210563
Reference40 articles.
1. Network approaches to two-dimensional phase unwrapping: intractability and two new algorithms
2. Two-dimensional phase unwrapping method using a refined D-LinkNet-based unscented Kalman filter
3. Ameliorative Minimum Cost Flow Algorithm for Phase Unwrapping
4. Deep Convolutional Neural Network-Based Robust Phase Gradient Estimation for Two-Dimensional Phase Unwrapping Using SAR Interferograms
5. Evaluation of a preconditioned conjugate-gradient algorithm for weighted least-squares unwrapping of digital speckle-pattern interferometry phase maps
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1. Transformer based deep learning hybrid architecture for phase unwrapping;Physica Scripta;2024-06-21
2. Efficient and robust phase unwrapping method based on SFNet;Optics Express;2024-04-11
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