Denoised and wide swath thermal imaging technology based on low rank matrix approximation

doi:10.11972/j.issn.1001-9014.2018.03.008

Home > Archive>Volume 37, Issue 3, 2018 >296-301. DOI:10.11972/j.issn.1001-9014.2018.03.008

Denoised and wide swath thermal imaging technology based on low rank matrix approximation
DOI:
                        10.11972/j.issn.1001-9014.2018.03.008
                    
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Affiliation:Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Key Laboratory Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences of Space,Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences
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Abstract:

A denoised and wide swath thermal imaging technology based on low rank matrix approximation ( LRMA) was proposed to solve the problem of low signal-to-noise ratio ( SNR) of thermal imaging system noise in strong background and weak signal scene. This technology utilized array whisk broom mode to realize wide swath imaging and construct strict observations. The denoising low-rank matrix of observations was solved via weighted nuclear norm minimization ( WNNM) . Experiments showed that the technology had high peak signal to noise ratio ( PSNR) and denoising robustness. Both of imaging width and detection sensitivity were improved. The technology has certain application value in the field of weak target recognition and large area investigation.

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YANG Xuan, WANG Yi-Kun, HAN Gui-Cheng, LIU Min, YAO Bo, SHU Rong, QI Hong-Xing. Denoised and wide swath thermal imaging technology based on low rank matrix approximation[J]. Journal of Infrared and Millimeter Waves,2018,37(3):296~301

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Received:August 16,2017
Revised:September 12,2017
Adopted:September 13,2017
Online: July 16,2018
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