Infrared small target detection using kernel low-rank approximation and regularization terms for constraints

Infrared Physics & Technology(2022)

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摘要
•We present a kernel robust principal component analysis (KRPCA) model for IR small target detection.•We derive an effective method to solve the proposed model based on the alternating direction method of multipliers (ADMM).•The proposed method is robust and efficient.
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关键词
IR small target detection,Kernel low-rank approximation,The lp-norm,Total variation,Graph Laplacian
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