@inproceedings{c199efafa73e4b168f4cb84f56411609,
title = "Automatic target recognition algorithm based on statistical dispersion of infrared multispectral image",
abstract = "A novel automatic target recognition algorithm based on statistical dispersion of infrared multispectral images(SDOIMI) is proposed. Firstly, infrared multispectral characteristic matrix of the scenario is constructed based on infrared multispectral characteristic information (such as radiation intensity and spectral distribution etc.) of targets, background and decoys. Then the infrared multispectral characteristic matrix of targets is reconstructed after segmenting image by maximum distance method and fusing spatial and spectral information. Finally, an statistical dispersion of infrared multispectral images(SDOIMI) recognition criteria is formulated in terms of spectral radiation difference of interesting targets. In simulation, nine sub-bands multispectral images of real ship target and shipborne aerosol infrared decoy modulated by laser simulating ship geometry appearance are obtained via using spectral radiation curves. Digital simulation experiment result verifies that the algorithm is effective and feasible.",
keywords = "Automatic target recognition, Image segmentation, Infrared multispectral, Statistical dispersion",
author = "Wei Zhang and Cao, \{Le Lin\} and Wu, \{Chun Feng\} and Hou, \{Qing Yu\}",
year = "2009",
doi = "10.1117/12.836105",
language = "英语",
isbn = "9780819476647",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "International Symposium on Photoelectronic Detection and Imaging 2009 - Advances in Infrared Imaging and Applications",
note = "International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications ; Conference date: 17-06-2009 Through 19-06-2009",
}