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Subspace Projection Attention Network for GPR Heterogeneous Clutter Removal

Clutter removal in ground-penetrating radar (GPR) based on deep learning has been studied in recent years. However, existing methods are primarily designed for homogeneous background conditions and utilize only local spatial information via the convolution operation. In order to solve these issues,...

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Principais autores: Yanjie Cao, Xiaopeng Yang, Conglong Guo, Dong Li, Peng Yin, Tian Lan
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2024-01-01
Serier:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fag:
Clutter removal
deep learning
ground-penetrating radar (GPR)
heterogeneous clutter
subspace projection
Online adgang:https://ieeexplore.ieee.org/document/10402071/
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