An Infrared Small Target Detection Method Based on Block Compressed Sensing

2017 ◽  
pp. 417-424
Author(s):  
Jingli Yang ◽  
Zheng Cui ◽  
Shouda Jiang
Keyword(s):  
Compressed Sensing ◽  
Target Detection ◽  
Detection Method ◽  
Small Target ◽  
Small Target Detection ◽  
Block Compressed Sensing ◽  
Infrared Small Target

A novel infrared small target detection method based on BEMD and local inverse entropy

2014 ◽  
Vol 66 ◽  
pp. 114-124 ◽  
Author(s):  
Zhong Chen ◽  
Song Luo ◽  
Ting Xie ◽  
Jianguo Liu ◽  
Guoyou Wang ◽  
...  
Keyword(s):  
Target Detection ◽  
Detection Method ◽  
Small Target ◽  
Small Target Detection ◽  
Infrared Small Target

Infrared Small Target Detection Method Based on Correlation Filter

2016 ◽  
Vol 36 (5) ◽  
pp. 0512001 ◽  
Author(s):  
何玉杰 He Yujie ◽  
李敏 Li Min ◽  
张金利 Zhang Jinli ◽  
邢宇航 Xing Yuhang
Keyword(s):  
Target Detection ◽  
Detection Method ◽  
Correlation Filter ◽  
Small Target ◽  
Small Target Detection ◽  
Infrared Small Target

An infrared small target detection method based on nonnegative matrix factorization and compressed sensing

2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740098 ◽  
Author(s):  
Qiwei Chen ◽  
Yiming Wang
Keyword(s):  
Compressed Sensing ◽  
Matrix Factorization ◽  
Nonnegative Matrix Factorization ◽  
Detection Method ◽  
Infrared Image ◽  
Nonnegative Matrix ◽  
Small Target ◽  
Small Target Detection ◽  
Sensing Technology ◽  
Infrared Small Target

According to the low rank property of the background and the sparse features of the target in infrared image, a novel infrared small target detection method based on the nonnegative matrix factorization (NMF) and compressed sensing technology was presented in this paper. This method trained background model through NMF, and then sampled the infrared image sequences directly using the block compressed sensing technology. Through the alternating direction method of multipliers (ADMM), the infrared small target was extracted and the background was recovered from the image. At the same time, the background was updated by the update algorithm, to adapt to the changes in the background. The simulation results show that the proposed method can detect the infrared target precisely and efficiently.

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