[1] [1] Nedbal J, Rocca F M D, Walker R, et al. Correction of time-resolved SPAD array measurements for accurate single-photon time-resolved biological imaging[J]. Proc. SPIE, 2021, 11721: 117210T.

[2] [2] Wang R, Liu B, Li Z, et al. Bayesian model for 3D undulating terrain depth estimation using photon counting lidar[J]. Remote Sensing, 2023, 15(19): 4719.

[3] [3] Tian Y, Hu X, Chen S, et al. High accuracy ranging for space debris with spaceborne single photon Lidar[J]. Optics Express, 2024, 32(7): 12318-12339.

[4] [4] Zhang W, Xu N, Ma Y, et al. A maximum bathymetric depth model to simulate satellite photon-counting lidar performance[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 174(4): 182-197.

[5] [5] Yao Z, Chen X, Xu N, et al. LiDAR-based simultaneous multi-object tracking and static mapping in nearshore scenario[J]. Ocean Engineering, 2023, 272: 113939.

[7] [7] Gong W, Zhao C, Yu H, et al. Three-dimensional ghost imaging lidar via sparsity constraint[J]. Scientific Reports, 2016, 6: 26133.

[8] [8] Sun M J, Zhang J M. Single-pixel imaging and its application in three-dimensional reconstruction: A brief review[J]. Sensors, 2019, 19(3): 732.

[9] [9] Chan S, Halimi A, Zhu F, et al. Long-range depth imaging using a single-photon detector array and non-local data fusion[J]. Scientific Reports, 2019, 9: 8075.

[10] [10] Thomas S. Low-light imaging with SPAD pixels[J]. Nat Electron, 2021, 4: 862.

[11] [11] Lu X, Zhang Y, Yang Y, et al. A monte carlo model for temporal response and photon detection efficiency of single photon avalanche diode[C]//IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2019: 1-3.

[12] [12] Yu W J, Zhang Y, Xu M Z, et al. Dark count in single-photon avalanche diodes: A novel statistical behavioral model[J]. Chinese Physics B, 2020. 29(4): 048503.

[13] [13] Beer M, Haase J F, Ruskowski J, et al. Background light rejection in SPAD-based LiDAR sensors by adaptive photon coincidence detection[J]. Sensors, 2018, 18(12): 4338.

[14] [14] Duan Y, Yang C, Li H. PCA-based real-time single-photon 3D imaging method[J]. Optics Communications, 2022, 508: 127777.

[15] [15] Xue R, Kang Y, Zhang T, et al. Sub-pixel scanning high-resolution panoramic 3D imaging based on a SPAD array[J]. IEEE Photonics Journal, 2021, 13(4): 1-6.

[16] [16] Heide F, Diamond S, Lindell D B, et al. Sub-picosecond photon-efficient 3D imaging using single-photon sensors[J]. Scientific Reports, 2018, 8: 17726.

[17] [17] Sun Q, Dun X, Peng Y, et al. Depth and transient imaging with compressive spad array cameras[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018: 273-282.

[18] [18] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.

[19] [19] Damelin S B, Miller W. The Mathematics of Signal Processing: Compressive Sampling[M]. Cambridge: Cambridge University Press, 2012.

[20] [20] Candes E J, Wakin M B. An introduction to compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 21-30.

[21] [21] Duarte M F, Davenport M A, Takhar D, et al. Single-pixel imaging via compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 83-91.

[22] [22] Li S, Liu X, Xiao K T X. 3D compressive imaging system with a single photon-counting detector[J]. Optics Express, 2023, 31(3): 4712-4738.

[23] [23] Edgar M P, Gibson G M, Padgett M J. Principles and prospects for single-pixel imaging[J]. Nature Photonics, 2019, 13(1): 13-20.

[25] [25] Scholes S, Mora-Martn G, Zhu F, et al. Simulating single-photon detector array sensors for depth imaging[J]. arXiv preprint arXiv: 2210.05644, 2022.

[26] [26] Bian L, Suo J, Dai Q, et al. Experimental comparison of single-pixel imaging algorithms[J]. Journal of the Optical Society of America A, 2017, 35(1): 78-87.

[27] [27] Scharstein D, Pal C. Learning conditional random fields for stereo[C]//IEEE Conference on Computer Vision & Pattern Recognition, 2007: 1-8.

[28] [28] Cai T T, Wang L. Orthogonal matching pursuit for sparse signal recovery with noise[J]. IEEE Transactions on Information Theory, 2011, 57(7): 4680-4688.

[29] [29] Liu Z, Liu H, Wang X. Accelerated augmented Lagrangian method for total variation minimization[J]. Computational & Applied Mathematics, 2019, 38: 50.