Deep unfolding BIHT network with threshold for SAR imaging

Yongfei Zhai; Falin Liu; Mengru Tian; Mingyu Niu; Fangxi Liu; Tao Zhang

doi:10.1117/12.3020017

23 January 2024 Deep unfolding BIHT network with threshold for SAR imaging

Yongfei Zhai, Falin Liu, Mengru Tian, Mingyu Niu, Fangxi Liu, Tao Zhang

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129780Q (2024) https://doi.org/10.1117/12.3020017
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

One-bit compressed sensing (CS) synthetic aperture radar (SAR) imaging greatly reduces the hardware cost of SAR systems and has great technical advantages, but one-bit CS SAR imaging algorithms face the problem of poor performance at a low signal-to-noise ratio (SNR). This paper applies the deep unfolding idea to the binary iterative hard thresholding (BIHT) algorithm and introduces the threshold parameter to propose the DeepBIHT-net network. Experiments are conducted to verify that the proposed method can effectively improve the reconstruction performance at low SNR.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yongfei Zhai, Falin Liu, Mengru Tian, Mingyu Niu, Fangxi Liu, and Tao Zhang "Deep unfolding BIHT network with threshold for SAR imaging", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129780Q (23 January 2024); https://doi.org/10.1117/12.3020017

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