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SDE Diffusion Models for SAR Image Active Jamming Suppression With Pseudo-Paired SAR Images

Xunhao Lin,Dawei Ren,Ping Lang,Huizhang Yang,Junjun Yin,Jian Yang

Published 2026 in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

ABSTRACT

Synthetic aperture radar (SAR) imaging is susceptible to various types of jamming, which can severely degrade image quality and hinder downstream tasks. To address this issue, this article proposes a jamming suppression method through a stochastic differential equation (SDE) based diffusion model trained on pseudopaired SAR images. First, candidate jamming regions are identified in suppression jamming SAR images through energy concentration and low-rank characteristics. Then, pseudopaired SAR images representing low and high jamming states are constructed by combining these candidate regions with the original SAR images (referred to as clean images in the following text). Last, a diffusion model, with images evolving from the low jamming state to the high jamming state during the forward process and allowing the reverse process to effectively reconstruct clean images from heavily corrupted inputs, is trained to learn the transition between states. This yields a network capable of progressively suppressing jamming and recovering the clean images. Experiments on simulated SAR images with multiple active suppression jamming types and practical Sentinel-1 datasets demonstrate that the proposed method adapts well to diverse jamming types and intensity levels, exhibiting notable effectiveness, robustness, and practical applicability. The training strategy eliminates the need for prior knowledge of suppression jamming patterns and the availability of real paired SAR images, making it especially suitable for complex real-world scenarios, where jamming characteristics are difficult to characterize.

PUBLICATION RECORD

  • Publication year

    2026

  • Venue

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

  • Publication date

    Unknown publication date

  • Fields of study

    Not labeled

  • Identifiers
    DOI 10.1109/JSTARS.2025.3649264
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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