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,...
Saved in:
| Main Authors: | Yanjie Cao, Xiaopeng Yang, Conglong Guo, Dong Li, Peng Yin, Tian Lan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10402071/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bayesian Distributed Target Detectors in Compound-Gaussian Clutter Against Subspace Interference with Limited Training Data
by: Kun Xing, et al.
Published: (2025-03-01) -
Sea Clutter Suppression Method Based on Correlation Features
by: Zhen Li, et al.
Published: (2025-05-01) -
Amplitude Suppression of Nongaussian Sea Clutter in a Coherent Bandpass Path of the Receiver
by: E. A. Milashchenko, et al.
Published: (2016-02-01) -
Amplitude suppression of nongaussian sea clutter in a noncoherent bandpass path of the receiver
by: E. A. Milashchenko, et al.
Published: (2016-08-01) -
Recognition of Ground Clutter in Single-Polarization Radar Based on Gated Recurrent Unit
by: Jiaxin Wang, et al.
Published: (2024-12-01)