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

新的FSCE框架增强了SAR ATR的噪声鲁棒性

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一个名为FSCE（频率-空间协同增强）的新框架，以提高合成孔径雷达自动目标识别（SAR ATR）系统在存在斑点噪声时的准确性。该框架集成了频率-空间建模以实现早期特征稳定和语义正则化。在各种数据集上的实验证明了FSCE的有效性，并且一个轻量级实现FSCE-Netμ显示了其在容量大和资源受限架构上的适用性。 AI

影响 该框架可以提高雷达目标识别系统在挑战性环境条件下的准确性。

排序理由 该集群包含一篇详细介绍新技术框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的FSCE框架增强了SAR ATR的噪声鲁棒性

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报道来源 [1]

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

    FSCE：一种面向目标的频率-空间协同增强框架，用于噪声鲁棒的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…

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