Two-dimensional phase unwrapping is a key step for interferometric synthetic aperture radar to obtain elevation, and it is also an indispensable step in the process of elevation inversion. However, under the condition of strong noise, traditional unwrapping methods cannot achieve high quality phase recovery. To solve the problem, we used a neural network to unwrap the phase. The proposed method is validated compared with several conventional methods, and the experimental results show that the neural network method can obtain better effect under the condition of strong noise.
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