@inproceedings{2d5ec3c026ef448588ef68bad3d9db27,
title = "A dual-band infrared fusion ship target extraction method based on Markov random field model",
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.",
keywords = "Markov Random Field, fusion extraction, target extraction",
author = "Tianze Zhao and Lin He and Kun Gao and Jing Wang and Juan Lin and Guangping Wang",
note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; 5th Symposium on Novel Optoelectronic Detection Technology and Application ; Conference date: 24-10-2018 Through 26-10-2018",
year = "2019",
doi = "10.1117/12.2521902",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Qifeng Yu and You He and Wei Huang",
booktitle = "Fifth Symposium on Novel Optoelectronic Detection Technology and Application",
address = "United States",
}
