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Soft threshold iteration-based anti-noise compressed sensing image reconstruction network

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Abstract

Optical images of artificial satellites can provide wide-range geographic information, but their large amount of information and severe noise interference during transmission limit their applications in strategic deployment land, resource census and other fields. In this letter, the Soft Threshold Iteration-based Anti-noise Compressed Sensing Image Reconstruction Network is proposed to address the problem. The network proposes a reconstruction denoising hybrid network, employs adaptive factors and Gaussian initialized unconstrained adaptive sampling matrix, and proposes a reconstruction network mean square constraint between stages. According to experiments, the network can achieve a maximum peak signal-to-noise ratio of 37.43 dB when the sampling rate is 50% and the measurement values are mixed with Gaussian noise with a mean of 0 and SNR 30 dB.

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Author notes

  1. Jianhong Xiang, Yunsheng Zang, Hanyu Jiang and Yang Liu have contributed equally to this work.

Authors and Affiliations

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin, 150001, Heilongjiang, China

    Jianhong Xiang, Yunsheng Zang, Hanyu Jiang & Linyu Wang

  2. Key Laboratory of Advanced Ship Communication and Information Technology, Harbin Engineering University, Harbin, 150001, Heilongjiang, China

    Jianhong Xiang, Yunsheng Zang, Hanyu Jiang & Linyu Wang

  3. Sichuan Key Laboratory of Agile Intelligent Computing, Southwest China Institute of Electronics Technology, Chengdu, 610036, Sichuan, China

    Yang Liu

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  1. Jianhong Xiang
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  2. Yunsheng Zang
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  3. Hanyu Jiang
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  4. Linyu Wang
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  5. Yang Liu
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by [Jianhong Xiang], [Yunsheng Zang] ,[Yang Liu] and [Hanyu Jiang]. The first draft of the manuscript was written by [Linyu Wang] and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Linyu Wang.

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Xiang, J., Zang, Y., Jiang, H. et al. Soft threshold iteration-based anti-noise compressed sensing image reconstruction network. SIViP 17, 4523–4531 (2023). https://doi.org/10.1007/s11760-023-02686-w

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  • DOI: https://doi.org/10.1007/s11760-023-02686-w

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