scholarly journals Sparse and Low-Rank Matrix Decomposition for Automatic Target Detection in Hyperspectral Imagery

2019 ◽  
Vol 57 (8) ◽  
pp. 5239-5251 ◽  
Author(s):  
Ahmad W. Bitar ◽  
Loong-Fah Cheong ◽  
Jean-Philippe Ovarlez
Keyword(s):  
Target Detection ◽  
Hyperspectral Imagery ◽  
Matrix Decomposition ◽  
Low Rank ◽  
Automatic Target Detection ◽  
Rank Matrix ◽  
Low Rank Matrix

Small Infrared Target Detection Based on Low-Rank and Sparse Matrix Decomposition

2012 ◽  
Vol 239-240 ◽  
pp. 214-218 ◽  
Author(s):  
Cheng Yong Zheng ◽  
Hong Li
Keyword(s):  
Target Detection ◽  
Sparse Matrix ◽  
Infrared Image ◽  
Matrix Decomposition ◽  
Low Rank ◽  
Target Component ◽  
Lagrange Method ◽  
Rank Matrix ◽  
Augmented Lagrange Method ◽  
Low Rank Matrix

Sparse and low-rank matrix decomposition (SLMD) tries to decompose a matrix into a low-rank matrix and a sparse matrix, it has recently attached much research interest and has good applications in many fields. An infrared image with small target usually has slowly transitional background, it can be seen as the sum of low-rank background component and sparse target component. So by SLMD, the sparse target component can be separated from the infrared image and then be used for small infrared target detection (SITD). The augmented Lagrange method, which is currently the most efficient algorithm used for solving SLMD, was applied in this paper for SITD, some parameters were analyzed and adjusted for SITD. Experimental results show our algorithm is fast and reliable.

scholarly journals GPR Target Detection by Joint Sparse and Low-Rank Matrix Decomposition

2019 ◽  
Vol 57 (5) ◽  
pp. 2583-2595 ◽  
Author(s):  
Fok Hing Chi Tivive ◽  
Abdesselam Bouzerdoum ◽  
Canicious Abeynayake
Keyword(s):  
Target Detection ◽  
Matrix Decomposition ◽  
Low Rank ◽  
Rank Matrix ◽  
Low Rank Matrix

scholarly journals Single-Channel Speech Enhancement Based on Adaptive Low-Rank Matrix Decomposition

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 37066-37076
Author(s):  
Chao Li ◽  
Ting Jiang ◽  
Sheng Wu ◽  
Jianxiao Xie
Keyword(s):  
Speech Enhancement ◽  
Single Channel ◽  
Matrix Decomposition ◽  
Low Rank ◽  
Rank Matrix ◽  
Low Rank Matrix
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