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GPR Clutter Reduction by Robust Orthonormal Subspace Learning
Deniz Kumlu
*
,
Isin Erer
*
Corresponding author for this work
Department of Electronics and Communication Engineering
Turkish National Defence University
Research output
:
Contribution to journal
›
Article
›
peer-review
18
Citations (Scopus)
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Keyphrases
Ground Penetrating Radar
100%
Clutter Removal
100%
Orthonormal
100%
Radar Clutter
100%
Subspace Learning
100%
Decomposition Method
66%
Low-rank Decomposition
66%
Sparse Decomposition
66%
Robust Principal Component Analysis
66%
Robust Nonnegative Matrix Factorization
66%
Ground Penetrating Radar Images
66%
High Performance
33%
Detection Rate
33%
Parameter Values
33%
Removal Methods
33%
Reduction Method
33%
Low-rank
33%
PSNR Value
33%
Parameter Selection
33%
Algorithm Parameters
33%
Pre-setting
33%
Range Parameter
33%
Ground Penetrating Radar Systems
33%
Popular
33%
Target Visibility
33%
Target Component
33%
Engineering
Radar Image
100%
Matrix Factorization
100%
Component Analysis
100%
Principal Components
100%
Ground Penetrating Radar Systems
50%
Broad Range
50%