为实现对低空微小型无人机的精准管控,需获得红外探测系统对无人机的作用距离,明确系统的探测能力边界。首先,考虑到远处无人机所成的像不能充满探测器单个像元,改进了红外探测系统对点目标作用距离的计算模型。然后,搭建试验测量系统,...为实现对低空微小型无人机的精准管控,需获得红外探测系统对无人机的作用距离,明确系统的探测能力边界。首先,考虑到远处无人机所成的像不能充满探测器单个像元,改进了红外探测系统对点目标作用距离的计算模型。然后,搭建试验测量系统,运用红外热像仪和多路测温仪,测量了不同持续飞行时间下的DJI AIR 2S无人机表面多个点的辐射温度和物理温度,得到了飞行中的无人机达到热平衡状态时的温度。接着,建立了无人机的三维几何模型,并基于蒙特卡洛法数值计算得到了无人机8μm~14μm波段的辐射强度。最后,采用所建立的作用距离计算模型,数值计算得到了热像仪对无人机的作用距离沿探测方向的空间分布。为验证理论计算的精度,试验测量了热像仪对DJI AIR 2S无人机的作用距离。对比数值计算与试验测量的作用距离,在相同探测方向下,两者之间的相对误差在10%以内。这表明作用距离计算模型和数值模拟的过程是合理、可信的。展开更多
Sensor noise is a critical factor that degrades the performance of image processing systems.In traditional computing systems,noise correction is implemented in the digital domain,resulting in redundant latency and pow...Sensor noise is a critical factor that degrades the performance of image processing systems.In traditional computing systems,noise correction is implemented in the digital domain,resulting in redundant latency and power consumption overhead in the analog-to-digital conversion.In this work,we propose an analog-domain image correction architecture based on a proposed small-scale UNet,which implements a compact noise correction network within a one-transistor-one-memristor(1T1R)array.The statistical non-idealities of the fabricated 1T1R array(e.g.,device variability)are rigorously incorporated into the network's training and inference simulations.This correction network architecture leverages memristors for conducting multiply-accumulate operations aimed at rectifying non-uniform noise,defective pixels(stuck-at-bright/dark),and exposure mismatch.Compared to systems without correction,the proposed architecture achieves up to 50.13%improvement in recognition accuracy while demonstrating robust tolerance to memristor device-level errors.The proposed system achieves a 2.13-fold latency reduction and three orders of magnitude higher energy efficiency compared to conventional architecture.This work establishes a new paradigm for advancing the development of low-power,low-latency,and high-precision image processing systems.展开更多
Compact size,high brightness,and wide field of view(FOV)are key requirements for long-wave infrared imagers used in military surveillance or night navigation.However,to meet the imaging requirements of high resolution...Compact size,high brightness,and wide field of view(FOV)are key requirements for long-wave infrared imagers used in military surveillance or night navigation.However,to meet the imaging requirements of high resolution and wide FOV,infrared optical systems often adopt complex optical lens groups,which will increase the size and weight of the optical system.In this paper,a strategy based on wavefront coding(WFC)is proposed to design a compact wide-FOV infrared imager.A cubic phase mask is inserted into the pupil plane of the infrared imager to correct the aberration.The simulated results show that,the WFC infrared imager has good imaging quality in a wide FOV of±16°.In addition,the WFC infrared imager achieves compactness with its 40 mm×40 mm×40 mm size.A fast focal ratio of 1 combined with an entrance pupil diameter of 25 mm ensures brightness.This work is of significance for designing a compact wide-FOV infrared imager.展开更多
文摘为实现对低空微小型无人机的精准管控,需获得红外探测系统对无人机的作用距离,明确系统的探测能力边界。首先,考虑到远处无人机所成的像不能充满探测器单个像元,改进了红外探测系统对点目标作用距离的计算模型。然后,搭建试验测量系统,运用红外热像仪和多路测温仪,测量了不同持续飞行时间下的DJI AIR 2S无人机表面多个点的辐射温度和物理温度,得到了飞行中的无人机达到热平衡状态时的温度。接着,建立了无人机的三维几何模型,并基于蒙特卡洛法数值计算得到了无人机8μm~14μm波段的辐射强度。最后,采用所建立的作用距离计算模型,数值计算得到了热像仪对无人机的作用距离沿探测方向的空间分布。为验证理论计算的精度,试验测量了热像仪对DJI AIR 2S无人机的作用距离。对比数值计算与试验测量的作用距离,在相同探测方向下,两者之间的相对误差在10%以内。这表明作用距离计算模型和数值模拟的过程是合理、可信的。
基金Project supported by the National Key Research and Development Program of China(Grant No.2024YFA1208800)the National Natural Science Foundation of China(Grant Nos.62404253,62304254,U23A20322)。
文摘Sensor noise is a critical factor that degrades the performance of image processing systems.In traditional computing systems,noise correction is implemented in the digital domain,resulting in redundant latency and power consumption overhead in the analog-to-digital conversion.In this work,we propose an analog-domain image correction architecture based on a proposed small-scale UNet,which implements a compact noise correction network within a one-transistor-one-memristor(1T1R)array.The statistical non-idealities of the fabricated 1T1R array(e.g.,device variability)are rigorously incorporated into the network's training and inference simulations.This correction network architecture leverages memristors for conducting multiply-accumulate operations aimed at rectifying non-uniform noise,defective pixels(stuck-at-bright/dark),and exposure mismatch.Compared to systems without correction,the proposed architecture achieves up to 50.13%improvement in recognition accuracy while demonstrating robust tolerance to memristor device-level errors.The proposed system achieves a 2.13-fold latency reduction and three orders of magnitude higher energy efficiency compared to conventional architecture.This work establishes a new paradigm for advancing the development of low-power,low-latency,and high-precision image processing systems.
文摘Compact size,high brightness,and wide field of view(FOV)are key requirements for long-wave infrared imagers used in military surveillance or night navigation.However,to meet the imaging requirements of high resolution and wide FOV,infrared optical systems often adopt complex optical lens groups,which will increase the size and weight of the optical system.In this paper,a strategy based on wavefront coding(WFC)is proposed to design a compact wide-FOV infrared imager.A cubic phase mask is inserted into the pupil plane of the infrared imager to correct the aberration.The simulated results show that,the WFC infrared imager has good imaging quality in a wide FOV of±16°.In addition,the WFC infrared imager achieves compactness with its 40 mm×40 mm×40 mm size.A fast focal ratio of 1 combined with an entrance pupil diameter of 25 mm ensures brightness.This work is of significance for designing a compact wide-FOV infrared imager.
