[1] Mcmanamon P, Buell W, Choi M et al. Laser radar: progress and opportunities in active electro-optical sensing[J]. Washington, DC: National Academy of Sciences(2014).

[2] Itzler M A, Entwistle M, Wilton S et al. Geiger-mode LiDAR: from airborne platforms to driverless cars. [C]∥Applied Industrial Optics: Spectroscopy, Imaging and Metrology 2017, June 26-29, 2017, San Francisco, California. Washington, D.C.: OSA, ATu3A, 3(2017).

[3] McManamon P F. Review of ladar: a historic, yet emerging, sensor technology with rich phenomenology[J]. Optical Engineering, 51, 060901(2012).

[4] Shapiro J H, Capron B A, Harney R C. Imaging and target detection with a heterodyne-reception optical radar[J]. Applied Optics, 20, 3292-3313(1981).

[5] Becker R, Grillo A, Jacobsen R et al. Signal processing in the front-end electronics of BaBar vertex detector[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 377, 459-464(1996).

[6] Liu R, Zeng M, Tian Y et al. Application of the dynamic time over threshold method for semi-Gaussian signals[J]. Journal of Instrumentation, 13, P02020(2018).

[7] Wang C L, Mei X D, Pan L et al. Airborne near infrared three-dimensional ghost imaging LiDAR via sparsity constraint[J]. Remote Sensing, 10, 732(2018).

[8] Erkmen B I. Computational ghost imaging for remote sensing[J]. Journal of the Optical Society of America A, 29, 782-789(2012).

[9] Gong W L, Zhao C Q, Yu H et al. Three-dimensional ghost imaging lidar via sparsity constraint[J]. Scientific Reports, 6, 26133(2016).

[10] Zhao C Q, Gong W L, Chen M L et al. Ghost imaging lidar via sparsity constraints[J]. Applied Physics Letters, 101, 141123(2012).

[11] Hardy N D, Shapiro J H. Computational ghost imaging versus imaging laser radar for three-dimensional imaging[J]. Physical Review A, 87, 023820(2013).

[12] Sun M J, Edgar M P, Gibson G M et al. Single-pixel three-dimensional imaging with time-based depth resolution[J]. Nature Communications, 7, 12010(2016).

[13] Mei X D, Gong W L, Yan Y et al. Experimental research on prebuilt three-dimensional imaging lidar[J]. Chinese Journal of Lasers, 43, 0710003(2016).

[14] Li D, Cang J, Xia X X et al. Investigation on back-modulation long distance three-dimensional imaging based on compressed sensing[J]. Acta Optica Sinica, 34, 0111002(2014).

[15] Shimazoe K, Orita T, Nakamura Y et al. Time over threshold based multi-channel LuAG-APD PET detector[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 731, 109-113(2013).

[16] Jung J. Choi Y, bom Kim K, et al. An improved time over threshold method using bipolar signals[J]. Physics in Medicine & Biology, 63, 135002(2018).

[17] Gong W L. High-resolution pseudo-inverse ghost imaging[J]. Photonics Research, 3, 234-237(2015). http://www.opticsjournal.net/Articles/Abstract?aid=OJ160106000095C0FbIe

[18] Luo K H, Huang B Q, Zheng W M et al. Nonlocal imaging by conditional averaging of random reference measurements[J]. Chinese Physics Letters, 29, 074216(2012).

[19] Shapiro J H. Computational ghost imaging[J]. Physical Review A, 78, 061802(2008).

[20] Li M F, Zhang Y R, Luo K H et al. Time-correspondence differential ghost imaging[J]. Physical Review A, 87, 033813(2013).

[21] Li J H, Yang D Y, Luo B et al. Image quality recovery in binary ghost imaging by adding random noise[J]. Optics Letters, 42, 1640-1643(2017).