A Multi-Dimensional Feature Enhancement Network for SAR Target Detection via Cascaded Frequency–Spatial Refinement

Target detection in synthetic aperture radar (SAR) images is constrained by three primary challenges. First, speckle noise overlaps heavily with the high-frequency features of target edges in the frequency domain, so standard convolutions cannot suppress noise without sacrificing edge texture. Secon...

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Bibliografski detalji

Glavni autori:	Shanhong Guo, Ji Zhu, Gao Chen, Mu Yang, Weixing Sheng
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2026-06-01
Serija:	Remote Sensing
Teme:	synthetic aperture radar (SAR) target detection wavelet convolution receptive-field attention feature fusion deep learning
Online pristup:	https://www.mdpi.com/2072-4292/18/12/1888
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