Laser & Optoelectronics Progress, Volume. 57, Issue 18, 181101(2020)
Improved Least Squares Unwrapping Algorithm
Fig. 5. Identify results of cable and noise area. (a) Three-dimensional graph of peak function; (b) wrapping phase diagram with extension wire; (c) mask matrix diagram of Fig. (b); (d) raster image; (e) drawing of cable noise; (f) mask matrix diagram of Fig.(e); (g) wrapping phase diagrams; (h) mask matrix diagram of Fig. (g)
Fig. 6. Comparison of iteration times and running time of 5 algorithms. (a) Number of iterations; (b) running time
Fig. 7. Results of unwrapping package. (a) Ideal wrapping phase; (b) wrapping phase of galas; (c) unwrapping result of proposed algorithm; (d) unwrapping of SOR for ?; (e) unwrapping of SOR for k; (f) unwarpping of Gauss-Seidel for ?; (g) unwarpping of Gauss-Seidel for k
Fig. 8. Phase diagram with high density local noise. (a) Ideal original phase diagram; (b) phase diagram of RMI-WLS after unwrapping; (c) phase diagram of WLSA-PDA after unwrapping; (d) phase diagram of PCA after unwrapping
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Guo Peng, Weiming Li, Yang Huang, Yihai Cheng, Xingyu Gao. Improved Least Squares Unwrapping Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181101
Category: Imaging Systems
Received: Dec. 10, 2019
Accepted: Feb. 24, 2020
Published Online: Sep. 2, 2020
The Author Email: Xingyu Gao (gxy1981@guet.edu.cn)