Research on Automatic Identification of Airplane Targets on Infrared Images

Zhong Lin Xu; Wen Jie Zhao; Hong Wei Wang; Quan Liang Liu

doi:10.4028/www.scientific.net/AMM.241-244.1733

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 241-244Research on Automatic Identification of Airplane...

Research on Automatic Identification of Airplane Targets on Infrared Images

Abstract:

No matter in civil remote sensing or in military investigation, infrared images have an extensive application value. According to the characteristics of the infrared images, in this paper, we build comprehensive feature vectors of airplane identification based on comprehensive consideration of the characteristics of infrared images, including boundary invariant moments , normalized moment of inertia and geometric features. Identifying an air plane by calculating the comparability of feature vector between template image and the image to be identified, the algorithm has been proved by experiments to have a better stability and robustness.

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Periodical:

Applied Mechanics and Materials (Volumes 241-244)

Pages:

1733-1736

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.241-244.1733

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Online since:

December 2012

Authors:

Zhong Lin Xu, Wen Jie Zhao, Hong Wei Wang, Quan Liang Liu

Keywords:

Geometric Feature, Ho’s Invariant Moment, Image Characteristic, Infrared Image, Rotation Inertia

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