Phase Unwrapping using a Joint CNN and SQD-LSTM Network

Phase unwrapping techniques are used in various applications, including Synthetic Aperture Radar (SAR) interferometry (InSAR). Deep learning methods have been recently proposed to tackle this problem. This work aims at explaining and evaluating the method by Perera et al. [A joint convolutional spatial quad-directional LSTM network for phase unwrapping, ICASSP 2021]. Furthermore, we provide an online demo simulate images run them through network. The performance can be tested visually metrics such as error standard deviation. simulation some out-of-distribution data, especially with added atmospheric signal specific InSAR phase. **This is MLBriefs article, source code has not reviewed!** **The original [[available here|https://github.com/Laknath1996/DeepPhaseUnwrap/tree/9316c1b1272c0457000fbbaaff850303d923df88]] (last checked 2022/10/04).**