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&...

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Bibliographic Details
Published in:Remote Sensing
Main Authors: Landan Zhang, Lingbing Peng, Tianfang Zhang, Siying Cao, Zhenming Peng
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Subjects:
infrared image
small target detection
non-convex rank approximation minimization
structured norm
Online Access:https://www.mdpi.com/2072-4292/10/11/1821

Internet

https://www.mdpi.com/2072-4292/10/11/1821

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