Zongjia Shi, Zhenjiao Xiang, Yinglei Du, Min Wan, Jingliang Gu, Guohui Li, Rujian Xiang, Jiang You, Jing Wu, Honglai Xu. Wavefront reconstruction method based on far-field information and convolutional neural network[J]. High Power Laser and Particle Beams, 2021, 33(8): 081011
- High Power Laser and Particle Beams
- Vol. 33, Issue 8, 081011 (2021)
Fig. 1. Wavefront reconstruction system based on CNN
Fig. 2. Different residual elements
Fig. 3. Flow chart of CNN wavefront reconstruction
Fig. 4. Far-field and wavefront Zernike coefficients of a sample
Fig. 5. The L1 loss change process of the four ResNet models in training is shown in (a) the training set and (b) the verification set
Fig. 6. Single frame image prediction time of ResNet
Fig. 7. Wavefront reconstruction results of a sample in the test set
Fig. 8. Scatter plot of PV and RMS of original wavefront and wavefront residuals of test set samples
Fig. 9. Ratio of PV and RMS of sample wavefront residuals to original wavefront of test set
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Table 1. Wavefront reconstruction results of turbulence with different intensities
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