Infrared small-dim target detection based on Markov random field guided noise modeling

作者：

Highlights：

• This paper tackles the detection problem that small targets approximate to noise.

• This paper adopts the mixture of Gaussians noise model to model the complex noise.

• This paper adopts the Markov random field to guide target separation from noise.

• This paper well utilizes the spatial-temporal information.

• The proposed method achieves promising results.

摘要

•This paper tackles the detection problem that small targets approximate to noise.•This paper adopts the mixture of Gaussians noise model to model the complex noise.•This paper adopts the Markov random field to guide target separation from noise.•This paper well utilizes the spatial-temporal information.•The proposed method achieves promising results.

论文关键词：Infrared image,Small target detection,Mixture of Gaussians,Markov random field,Variational Bayesian

论文评审过程：Received 23 February 2017, Revised 19 October 2017, Accepted 16 November 2017, Available online 20 November 2017, Version of Record 21 December 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.11.016