A DCNN method for phase unwrapping

Yansen Han; Jiying Liu; Yapeng Zhan; Qi Yu

doi:10.1117/12.2661627

12 April 2023 A DCNN method for phase unwrapping

Yansen Han, Jiying Liu, Yapeng Zhan, Qi Yu

Proceedings Volume 12565, Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022); 125650K (2023) https://doi.org/10.1117/12.2661627
Event: Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022), 2022, Shanghai, China

Abstract

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.

Citation Download Citation

Yansen Han, Jiying Liu, Yapeng Zhan, and Qi Yu "A DCNN method for phase unwrapping", Proc. SPIE 12565, Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022), 125650K (12 April 2023); https://doi.org/10.1117/12.2661627

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