利用分布式多红外传感器协同探测同一目标后,通过对多传感器目标图像进行像素级融合来提升信噪比(Signal-to-Noise Ratio,SNR),进而提高系统的探测能力.从单红外传感器探测距离出发,阐述了分布式多红外系统协同探测的作用距离评估模型.推导了包含积分时间的噪声等效温差(Noise Equivalent Temperature Difference,NETD)公式,并用NETD表达了小哈德逊探测距离方程.采用多传感器图像融合的方式提升图像信噪比,等效于延长积分时间,抑制噪声、提高NETD;结合协同探测的虚警概率及探测概率关系公式,为多红外传感器探测距离方程中的信噪比设置提供参考依据.分布式多红外系统探测距离评估模型综合考虑NETD和SNR两个维度因素.理论计算表明,多传感器协同探测可以有效提升系统的探测距离,为分布式红外系统的综合论证提供了重要的理论支撑.
Collaborative Detection Distance Model for Distributed Infrared Systems
After using distributed infrared sensors to detect the same target,the image of the multi-sensor target can be fused at pixel level to improve the signal-to-noise ratio(SNR),so as to improve the detection a-bility of the system.Starting with the detection range of a single infrared sensor,the range evaluation model of distributed multi-infrared system collaborative detection is described,and the noise equivalent temperature difference(NETD)formula is deduced including integral time.The Little Hudson detection range equation is expressed by NETD.The multi-sensor image fusion method is used to improve the SNR of the image,which is equivalent to extending the integration time and suppressing noise to improve NETD.Combined with the re-lation formula of the false alarm probability and detection probability,a reference for setting SNR in the detec-tion range equation of multi-infrared sensors is provided.NETD and SNR are considered in the detection range evaluation model of distributed multi-infrared systems.Theoretical calculation shows that multi-sensor cooper-ative detection can effectively improve the detection range of the system,which provides important theoretical support for the comprehensive demonstration of distributed infrared systems.
distributed infraredcooperative detectiondetection distancenoise equivalent temperature differencesignal-to-noise ratio
万方数据
维普
