A dual-band infrared fusion ship target extraction method based on Markov random field model

Tianze Zhao; Lin He; Kun Gao; Jing Wang; Juan Lin; Guangping Wang

doi:10.1117/12.2521902

12 March 2019 A dual-band infrared fusion ship target extraction method based on Markov random field model

Tianze Zhao, Lin He, Kun Gao, Jing Wang, Juan Lin, Guangping Wang

Proceedings Volume 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application; 110231V (2019) https://doi.org/10.1117/12.2521902
Event: Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 2018, Xi'an, China

Abstract

The marine and air background images obtained by a single shipborne infrared sensor often have problems such as low contrast between target and background, high noise, and lack of complete target details, which bring great difficulty to the extraction of ship targets. This paper analyzes the basic features of the ship target in medium/long wave infrared image and proposes the basic model of ship target extraction based on the Markov Random Field (MRF) theory. According to the two-band target and background prior probability distribution, the energy minimization framework is added. Regional believable propagation (BP) algorithm is used to perform global optimization of the model, and image segmentation label is estimated according to MAP criteria. The experimental results show that the fusion extraction algorithm can retain the effective components in the original dual-band infrared image, and the extraction efficiency and accuracy are higher.

Citation Download Citation

Tianze Zhao, Lin He, Kun Gao, Jing Wang, Juan Lin, and Guangping Wang "A dual-band infrared fusion ship target extraction method based on Markov random field model", Proc. SPIE 11023, Fifth Symposium on Novel Optoelectronic Detection Technology and Application, 110231V (12 March 2019); https://doi.org/10.1117/12.2521902

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