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New FSCE framework enhances SAR ATR noise resilience

Researchers have developed a new framework called FSCE (Frequency-Spatial Collaborative Enhancement) to improve the accuracy of Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) systems, particularly in the presence of speckle noise. The framework integrates frequency-spatial modeling for early feature stabilization and semantic regularization. Experiments on various datasets demonstrate the effectiveness of FSCE, and a lightweight implementation, FSCE-Netμ, shows its applicability to both high-capacity and resource-constrained architectures. AI

IMPACT This framework could improve the accuracy of radar-based object recognition systems in challenging environmental conditions.

RANK_REASON The cluster contains a research paper detailing a new technical framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New FSCE framework enhances SAR ATR noise resilience

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The cluster contains a research paper detailing a new technical framework. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yansong Lin, Zihan Cheng, Ziyue Yang, Xinming Wang, Jielei Wang, Guoming Lu, Zongyong Cui ·

    FSCE: A Target-Aware Frequency-Spatial Collaborative Enhancement Framework for Noise-Resilient SAR ATR

    arXiv:2603.21565v3 Announce Type: replace-cross Abstract: Synthetic aperture radar automatic target recognition (SAR ATR) is severely challenged by coherent speckle noise, whose interference can be progressively amplified by hierarchical nonlinear transformations and eventually d…