Infrared dim target detection based on total variation regularization and principal component pursuit

作者：

Highlights：

• An infrared dim target detection method based on total variation regularization and principal component pursuit is proposed.

• An optimization solver based on alternating direction method is proposed to solve the TV-PCP model.

• By utilizing the total variation regularization, the TV-PCP performs well in target detection and background estimation.

摘要

•An infrared dim target detection method based on total variation regularization and principal component pursuit is proposed.•An optimization solver based on alternating direction method is proposed to solve the TV-PCP model.•By utilizing the total variation regularization, the TV-PCP performs well in target detection and background estimation.

论文关键词：Infrared images,Dim target detection,Total variation regularization,Principal component pursuit

论文评审过程：Received 6 April 2016, Accepted 20 April 2017, Available online 29 April 2017, Version of Record 14 May 2017.

论文官网地址：https://doi.org/10.1016/j.imavis.2017.04.002