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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Shanhong Guo, Ji Zhu, Gao Chen, Mu Yang, Weixing Sheng
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2026-06-01
Schriftenreihe:Remote Sensing
Schlagworte:
synthetic aperture radar (SAR)
target detection
wavelet convolution
receptive-field attention
feature fusion
deep learning
Online-Zugang:https://www.mdpi.com/2072-4292/18/12/1888
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