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arXiv AI By 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

Read the original on arXiv AI →

The paper introduces FSCE, a Target‑Aware Frequency‑Spatial Collaborative Enhancement framework designed to improve noise‑resilient synthetic aperture radar (SAR) automatic target recognition (ATR). It combines a Frequency‑Spatial Early‑stage Adaptive Enhancement module that suppresses speckle noise while preserving target structures, with an Adaptive Policy‑driven Semantic Alignment mechanism that applies top‑down semantic constraints during training. Experiments on MSTAR, OpenSARShip, and FUSARShip datasets show that the lightweight FSCE‑Net_µ, with only 0.17 M parameters, achieves competitive performance across both high‑capacity and lightweight architectures.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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