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Infrared Small Target Detection via Non-Convex Rank Approximation Minimization Joint <i>l</i><sub>2,1</sub> Norm

To improve the detection ability of infrared small targets in complex backgrounds, a novel method based on non-convex rank approximation minimization joint <i>l</i><sub>2,1</sub> norm (NRAM) was proposed. Due to the defects of the nuclear norm and <i>l</i><sub>1</sub> norm, the state-of-the-art infr...

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Bibliografische gegevens
Hoofdauteurs: Landan Zhang, Lingbing Peng, Tianfang Zhang, Siying Cao, Zhenming Peng
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2018-11-01
Reeks:Remote Sensing
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Online toegang:https://www.mdpi.com/2072-4292/10/11/1821
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