An Efficient Phase Unwrapping Method Based on Unscented Kalman Filter
Author:
Affiliation:
1. School of Information and Communication, Guilin University of Electronic Technology, Guilin, China
2. School of Microelectronics and Materials Engineering, Guangxi University of Science and Technology, Liuzhou, China
Funder
Guangxi Innovation-Driven Development Project
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Pharmacology (medical)
Link
http://xplorestaging.ieee.org/ielx7/8253411/10131919/10039048.pdf?arnumber=10039048
Reference32 articles.
1. Efficient and robust phase unwrapping algorithm based on unscented Kalman filter, the strategy of quantizing paths-guided map, and pixel classification strategy
2. Phase Unwrapping using 2D-Kalman Filter - Potential and Limitations
3. Deep Learning-Based Branch-Cut Method for InSAR Two-Dimensional Phase Unwrapping
4. CANet: An Unsupervised Deep Convolutional Neural Network for Efficient Cluster-Analysis-Based Multibaseline InSAR Phase Unwrapping
5. Minimum Lp-norm two-dimensional phase unwrapping
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