Application of characteristic plume spectra in recognition of boost phase ballistic target

被引：0
|
作者：
Yuan Z. [1 ]
Huang S. [1 ]
Xiong Z. [1 ]
Zhao W. [1 ]
机构：
[1] Air and Missile Defense College, Air Force Engineering University, Xi'an, 710051, Shaanxi
来源：
Guangxue Xuebao/Acta Optica Sinica | 2017年 / 37卷 / 02期
关键词：
Characteristic spectra; Infrared warning satellites; Similarity measure; Spectroscopy; Target recognition;
D O I：
10.3788/AOS201737.0230001
中图分类号：
学科分类号：
摘要：
The feature information of ballistic target is deficient in space based infrared system. Spectrum represents the inherent property difference of the object, which can be used as main gist for target recognition. The characteristic spectra of missile plume are taken as an important mean for target recognition. Considering the spectral absorption characteristics and the band extraction rules, we construct a band extraction model using forward and backward interval partial least squares, use to a new spectral adaptive varied weight measure (SAVM) distinguish, and propose a new recognition method based on characteristic plume spectrua, which can be used for the recognition of boost phase ballistic target. The characteristic bands are extracted and SAVM superiority is verified. The method proposed needs less data, provides higher precision and can be a better reference for optimizing infrared detection and recognition system in comparison with the way of using whole spectral range. © 2017, Chinese Lasers Press. All right reserved.
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页数：8
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