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机构地区:[1]空军工程大学防空反导学院,陕西西安710051
出 处:《激光与光电子学进展》2016年第9期57-63,共7页Laser & Optoelectronics Progress
基 金:陕西省自然科学基础研究计划(2012JM8020);航空科学基金(20130196004)
摘 要:在宽带探测模型的基础上,综合考虑光谱精细度以及数据量,融合窄带光谱信息进行目标识别,提出一种基于综合信噪比的红外预警卫星窄带探测波段选择方法。依据预警卫星窄带成像机理加入窄带滤光片,综合考虑目标和背景辐射、暗电流噪声以及探测器仪器热噪声等的影响,提出较为完备的综合信噪比计算模型。以国防支援计划(DSP)预警卫星为例,选取中心波长在2.726,2.835,3.012,4.339μm处带宽为10nm的窄带波段为探测波段,计算了尾焰在不同高度下的综合信噪比光谱。Based on the wideband detection model, the accuracy and the volumes of spectral data combined with the narrowband information are applied in targets recognition, and then a new method to select the narrow detection waveband of infrared warning satellites based on synthetic signal-to-noise ratio is proposed. According to the narrowband imaging principle of warning satellites, a narrowband filter is added in the imaging system. The radiance from target and background, the dark current noise as well as the thermal noise from detector are considered, and then a new complete model for calculating synthetic signal-to-noise ratio is proposed. Taking the defense support program(DSP) satellite as an example, the central waveband of 2. 726, 2. 835, 3. 012, 4. 339 μm with the detection bandwidth of 10 nm, as detection waveband, is selected to calculate the synthetic signal-to-noise ratio spectra of tail at various altitudes.
关 键 词:探测器 红外预警卫星 探测波段 综合信噪比 目标识别
分 类 号:V19[航空宇航科学与技术—人机与环境工程]
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