光学学报, 2017, 37 (2): 0230001, 网络出版: 2017-02-13
尾焰特征光谱在主动段弹道目标识别中的应用
Application of Characteristic Plume Spectra in Recognition of Boost Phase Ballistic Target
光谱学 红外预警卫星 目标识别 特征光谱 相似性测度 spectroscopy infrared warning satellites target recognition characteristic spectra similarity measure
摘要
天基红外预警卫星远距离探测时获取的弹道目标特征信息匮乏,代表物质固有属性差异的光谱信息可作为目标识别的主要依据。将尾焰特征光谱信息作为识别的重要手段,综合考虑尾焰光谱吸收特性和特征光谱提取原则,采用改进的向前和向后间隔偏最小二乘法建立特征波段提取模型,以新型自适应变权重光谱相似性测度(SAVM)实现目标与特征光谱数据库的匹配,提出了基于尾焰特征光谱的主动段弹道目标识别方法。仿真实验进行了特征波段提取与SAVM优越性的验证,相较于全波段光谱匹配识别法,提出的方法所需数据量更小、识别精度更高。研究内容可为红外预警卫星系统优化探测识别能力提供有意义的参考。
Abstract
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.
苑智玮, 黄树彩, 熊志刚, 赵炜. 尾焰特征光谱在主动段弹道目标识别中的应用[J]. 光学学报, 2017, 37(2): 0230001. Yuan Zhiwei, Huang Shucai, Xiong Zhigang, Zhao Wei. Application of Characteristic Plume Spectra in Recognition of Boost Phase Ballistic Target[J]. Acta Optica Sinica, 2017, 37(2): 0230001.