Automatic target recognition algorithm based on statistical dispersion of infrared multispectral image

Wei Zhang; Qing-yu Hou

doi:10.1117/12.836105

5 August 2009 Automatic target recognition algorithm based on statistical dispersion of infrared multispectral image

Wei Zhang, Qing-yu Hou

Proceedings Volume 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications; 73833S (2009) https://doi.org/10.1117/12.836105
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

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.

Citation Download Citation

Wei Zhang and Qing-yu Hou "Automatic target recognition algorithm based on statistical dispersion of infrared multispectral image", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73833S (5 August 2009); https://doi.org/10.1117/12.836105

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KEYWORDS

Infrared radiation

Infrared imaging

Image segmentation

Target recognition

Detection and tracking algorithms

Multispectral imaging

Automatic target recognition

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