This study begins with the fabrication and simulation of high-performance back-illuminated AlGaN-based solar-blind ultraviolet(UV)photodetectors.Based on the photodetectors,a low-noise,high-gain UV detection system ci...This study begins with the fabrication and simulation of high-performance back-illuminated AlGaN-based solar-blind ultraviolet(UV)photodetectors.Based on the photodetectors,a low-noise,high-gain UV detection system circuit is designed and fabricated,enabling the detection,acquisition,and calibration of weak solar-blind UV signals.Experimental results demonstrate that under zero bias conditions,with a UV light power density of 3.45μW/cm^(2) at 260 nm,the sample achieves a peak responsivity(R)of 0.085 A·W^(−1),an external quantum efficiency(EQE)of 40.7%,and a detectivity(D^(*))of 7.46×10^(12) cm·Hz^(1/2)·W^(−1).The system exhibits a bandpass characteristic within the 240–280 nm wavelength range,coupled with a high signal-to-noise ratio(SNR)of 39.74 dB.展开更多
基于飞行时间(Time of Flight,TOF)原理的深度相机成像方法不同于二维图像来计算三维信息,而是通过光在空气中的飞行时间,来计算出目标的距离,从而直接获取场景目标的三维点云信息。本文通过研究基于飞行时间红外相机的三维重建技术,设...基于飞行时间(Time of Flight,TOF)原理的深度相机成像方法不同于二维图像来计算三维信息,而是通过光在空气中的飞行时间,来计算出目标的距离,从而直接获取场景目标的三维点云信息。本文通过研究基于飞行时间红外相机的三维重建技术,设计了一种基于飞行时间红外相机的点云目标提取方法。利用飞行时间相机直接获得场景的三维点云数据,提出一种双阈值空间滤波算法,对点云数据进行空间滤波,并对滤波效果进行了对比评价。在双阈值空间滤波算法的基础上提出了一种改进的基于法向量的随机抽样一致性(RANSAC)算法,实现了对三维点云数据的目标提取,为基于飞行时间相机的场景目标三维重建奠定了基础。展开更多
基金supported by the Director’s Fund for the‘Climbing Plan’of the National Space Science Centre of the Chinese Academy of Sciences(No.E2PD10011S)the National Engineering Research Centre for Mobile Private Networks Project(No.BJTU20221102).
文摘This study begins with the fabrication and simulation of high-performance back-illuminated AlGaN-based solar-blind ultraviolet(UV)photodetectors.Based on the photodetectors,a low-noise,high-gain UV detection system circuit is designed and fabricated,enabling the detection,acquisition,and calibration of weak solar-blind UV signals.Experimental results demonstrate that under zero bias conditions,with a UV light power density of 3.45μW/cm^(2) at 260 nm,the sample achieves a peak responsivity(R)of 0.085 A·W^(−1),an external quantum efficiency(EQE)of 40.7%,and a detectivity(D^(*))of 7.46×10^(12) cm·Hz^(1/2)·W^(−1).The system exhibits a bandpass characteristic within the 240–280 nm wavelength range,coupled with a high signal-to-noise ratio(SNR)of 39.74 dB.
文摘基于飞行时间(Time of Flight,TOF)原理的深度相机成像方法不同于二维图像来计算三维信息,而是通过光在空气中的飞行时间,来计算出目标的距离,从而直接获取场景目标的三维点云信息。本文通过研究基于飞行时间红外相机的三维重建技术,设计了一种基于飞行时间红外相机的点云目标提取方法。利用飞行时间相机直接获得场景的三维点云数据,提出一种双阈值空间滤波算法,对点云数据进行空间滤波,并对滤波效果进行了对比评价。在双阈值空间滤波算法的基础上提出了一种改进的基于法向量的随机抽样一致性(RANSAC)算法,实现了对三维点云数据的目标提取,为基于飞行时间相机的场景目标三维重建奠定了基础。
