Recent research progress and thoughts on GISC Lidar with respect to practical applications

Gong Wenlin; Wang Chenglong; Mei Xiaodong; Pan Long; Wang Pengwei; Chen Mingliang; Bo Zunwang; Li Wang; Gao Xin; Han Shensheng

doi:10.3788/IRLA201847.0302001

Volume 47 Issue 3

Apr. 2018

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Article Navigation > Infrared and Laser Engineering > 2018 > 47(3): 302001-0302001(7)

Gong Wenlin, Wang Chenglong, Mei Xiaodong, Pan Long, Wang Pengwei, Chen Mingliang, Bo Zunwang, Li Wang, Gao Xin, Han Shensheng. Recent research progress and thoughts on GISC Lidar with respect to practical applications[J]. Infrared and Laser Engineering, 2018, 47(3): 302001-0302001(7). doi: 10.3788/IRLA201847.0302001

Citation:

Gong Wenlin, Wang Chenglong, Mei Xiaodong, Pan Long, Wang Pengwei, Chen Mingliang, Bo Zunwang, Li Wang, Gao Xin, Han Shensheng. Recent research progress and thoughts on GISC Lidar with respect to practical applications[J]. Infrared and Laser Engineering, 2018, 47(3): 302001-0302001(7). doi: 10.3788/IRLA201847.0302001

Recent research progress and thoughts on GISC Lidar with respect to practical applications

doi: 10.3788/IRLA201847.0302001

1.
Key Laboratory for Quantum Optics of Chinese Academy of Sciences,Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China

Received Date: 2017-10-10
Rev Recd Date: 2017-11-20
Publish Date: 2018-03-25

Abstract

Ghost Imaging Lidar via Sparsity Constraints (GISC Lidar),which belongs to a novel staring imaging Lidar mechanism, has been proven to be capable of high detective sensitivity, high resolution and high noise resistance. In order to promote GISC Lidar to practical application, the paper reviews the GISC Lidar mechanism and the recent research status of domestic and overseas, then highlights the core issues that GISC Lidar needs to solve in practical application and some recent achievements that the group has obtained. Finally, a simple outlook about the development trend of GISC Lidar has been prospected and discussed.
- ghost imaging,
- lidar imaging,
- prebuilt pseudo-thermal source,
- motion deblurring

References

[1]	Gong W, Yu H, Zhao C, et al. Improving the imaging quality of ghost imaging lidar via sparsity constraint by time-resolved technique[J]. Remote Sensing, 2016, 8(12):8120991.
[2]	Gong W, Zhao C, Yu H, et al. Three-dimensional ghost imaging lidar via sparsity constraint[J]. Scientific Reports, 2016, 6(6):26133.
[3]	Deng C, Gong W, Han S. Pulse-compression ghost imaging lidar via coherent detection[J]. Optics Express, 2016, 24(23):025983.
[4]	Katz O, Bromberg Y, Silberberg Y. Compressive ghost imaging[J]. Applied Physics Letters, 2009, 95(13):131110.
[5]	Du J, Gong W, Han S. The influence of sparsity property of images on ghost imaging with thermal light[J]. Optics Letters, 2012, 37(6):1067-1069.
[6]	Gong W, Bo Z, Li E, et al. Experimental investigation of the quality of ghost imaging via sparsity constraints[J]. Applied Optics, 2013, 52(15):3510-3515.
[7]	Gong W, Han S. Multiple-input ghost imaging via sparsity constraints[J]. JOSA, 2012, 29(8):1571-1579.
[8]	Gong W, Han S. Experimental investigation of the quality of lensless super-resolution ghost imaging via sparsity constraints[J]. Physics Letters A, 2012, 376(17):1519-1522.
[9]	Gong W, Han S. High-resolution far-field ghost imaging via sparsity constraint[J]. Scientific Report, 2015, 5:09280.
[10]	Gong W. High-resolution pseudo-inverse ghost imaging[J]. Photonics Research, 2015, 3(5):000234.
[11]	Gong W, Han S. Correlated imaging in scattering media[J]. Optics Letters, 2011, 36(3):394-396.
[12]	Zhao C, Gong W, Chen M, et al. Ghost imaging lidar via sparsity constraints[J]. Applied Physics Letters, 2012, 101(14):141123.
[13]	Chen M, Li E, Gong W, et al. Ghost imaging lidar via sparsity constraints in real atmosphere[J]. Optics and Photonics Journal, 2013, 3(2B):83-85.
[14]	Wu Nan, Gong Wenlin, Han Shensheng. Experimental research on pseudo-thermal light ghost imaging with random phase plate based on variable motion trail[J]. Acta Optica Sinica, 2015, 35(5):0711005. (in Chinese)吴楠, 龚文林, 韩申生. 基于运动轨迹可调式随机相位板的赝热光鬼成像实验研究[J]. 光学学报, 2015, 35(7):0711005.
[15]	Mei Xiaodong, Gong Wenlin, Yan Yi, et al. Experimental research on prebuilt three-dimensional imaging lidar[J]. Chinese Journal of Lasers, 2016, 43(7):0710003. (in Chinese)梅笑冬,龚文林,严毅,等. 可预置强度关联激光三维成像雷达实验研究[J]. 中国激光, 2016, 43(7):0710003.
[16]	Wang C, Mei X, Pan L, et al. NIR 3D GISC lidar on a balloon-borne platform[C]//Computational Optical Sensing and Imaging, 2017(1):JTu5A. 11.
[17]	Meyers R E, Deacon K S. System and method for image improvement and enhancement:US, 8948539[P]. 2015-02-03.
[18]	Sun M, Edgar M, Gibson G, et al. Single-pixel three-dimensional imaging with time-based depth resolution[J]. Nature Communications, 2016, 7:12010.
[19]	Zhang Y, Edgar M P, Sun B, et al. 3D single-pixel video[J]. Journal of Optics, 2016, 18(3):035203.
[20]	Wang C, Gong W, Shao X, et al. The influence of the property of random coded patterns on fluctuation-correlation ghost imaging[J]. Journal of Optics, 2016, 18(6):065703.
[21]	Yu H, Li E, Gong W, et al. Structured image reconstruction for three-dimensional ghost imaging lidar[J]. Optics Express, 2015, 23(11):14541-14551.
[22]	Zhang Cong, Gong Wenlin, Han Shensheng. Ghost imaging for moving targets and its application in remote sensing[J]. Chinese Journal of Lasers, 2012, 39(12):204-210. (in Chinese)张聪, 龚文林, 韩申生. 运动目标强度关联成像及其在遥感探测中的应用[J]. 中国激光, 2012, 39(12):204-210.
[23]	Li E, Bo Z, Chen M, et al. Ghost imaging of a moving target with an unknown constant speed[J]. Applied Physics Letters, 2014, 104(25):251120.
[24]	Li X, Deng C, Chen M, et al. Ghost imaging for an axially moving target with an unknown constant speed[J]. Photonics Research, 2015, 3(4):153-157.
[25]	Deng C, Pan L, Wang C, et al. Performance analysis of ghost imaging lidar in background light environment[J]. Photonics Research, 2017, 5(5):431-435.
[26]	Yang Y, Shi J, Cao F, et al. Computational imaging based on time-correlated single-photon-counting technique at low light level[J]. Applied Optics, 2015, 54(31):9277-9283.
[27]	Bo Zunwang, Gong Wenlin, Yan Yi, et al. Experimental research of ghost imaging based on photon counting[J]. Chinese Journal of Lasers, 2016, 43(11):1104001. (in Chinese)薄遵望, 龚文林, 严毅, 等. 基于光子计数的关联成像实验研究[J]. 中国激光, 2016, 43(11):1104001.

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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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Recent research progress and thoughts on GISC Lidar with respect to practical applications

1. Key Laboratory for Quantum Optics of Chinese Academy of Sciences,Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China

Received Date: 2017-10-10

Rev Recd Date: 2017-11-20

Publish Date: 2018-03-25

Key words:

Abstract: Ghost Imaging Lidar via Sparsity Constraints (GISC Lidar),which belongs to a novel staring imaging Lidar mechanism, has been proven to be capable of high detective sensitivity, high resolution and high noise resistance. In order to promote GISC Lidar to practical application, the paper reviews the GISC Lidar mechanism and the recent research status of domestic and overseas, then highlights the core issues that GISC Lidar needs to solve in practical application and some recent achievements that the group has obtained. Finally, a simple outlook about the development trend of GISC Lidar has been prospected and discussed.

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Reference (27)

[1]	Gong W, Yu H, Zhao C, et al. Improving the imaging quality of ghost imaging lidar via sparsity constraint by time-resolved technique[J]. Remote Sensing, 2016, 8(12):8120991.
[2]	Gong W, Zhao C, Yu H, et al. Three-dimensional ghost imaging lidar via sparsity constraint[J]. Scientific Reports, 2016, 6(6):26133.
[3]	Deng C, Gong W, Han S. Pulse-compression ghost imaging lidar via coherent detection[J]. Optics Express, 2016, 24(23):025983.
[4]	Katz O, Bromberg Y, Silberberg Y. Compressive ghost imaging[J]. Applied Physics Letters, 2009, 95(13):131110.
[5]	Du J, Gong W, Han S. The influence of sparsity property of images on ghost imaging with thermal light[J]. Optics Letters, 2012, 37(6):1067-1069.
[6]	Gong W, Bo Z, Li E, et al. Experimental investigation of the quality of ghost imaging via sparsity constraints[J]. Applied Optics, 2013, 52(15):3510-3515.
[7]	Gong W, Han S. Multiple-input ghost imaging via sparsity constraints[J]. JOSA, 2012, 29(8):1571-1579.
[8]	Gong W, Han S. Experimental investigation of the quality of lensless super-resolution ghost imaging via sparsity constraints[J]. Physics Letters A, 2012, 376(17):1519-1522.
[9]	Gong W, Han S. High-resolution far-field ghost imaging via sparsity constraint[J]. Scientific Report, 2015, 5:09280.
[10]	Gong W. High-resolution pseudo-inverse ghost imaging[J]. Photonics Research, 2015, 3(5):000234.
[11]	Gong W, Han S. Correlated imaging in scattering media[J]. Optics Letters, 2011, 36(3):394-396.
[12]	Zhao C, Gong W, Chen M, et al. Ghost imaging lidar via sparsity constraints[J]. Applied Physics Letters, 2012, 101(14):141123.
[13]	Chen M, Li E, Gong W, et al. Ghost imaging lidar via sparsity constraints in real atmosphere[J]. Optics and Photonics Journal, 2013, 3(2B):83-85.
[14]	Wu Nan, Gong Wenlin, Han Shensheng. Experimental research on pseudo-thermal light ghost imaging with random phase plate based on variable motion trail[J]. Acta Optica Sinica, 2015, 35(5):0711005. (in Chinese)吴楠, 龚文林, 韩申生. 基于运动轨迹可调式随机相位板的赝热光鬼成像实验研究[J]. 光学学报, 2015, 35(7):0711005.
[15]	Mei Xiaodong, Gong Wenlin, Yan Yi, et al. Experimental research on prebuilt three-dimensional imaging lidar[J]. Chinese Journal of Lasers, 2016, 43(7):0710003. (in Chinese)梅笑冬,龚文林,严毅,等. 可预置强度关联激光三维成像雷达实验研究[J]. 中国激光, 2016, 43(7):0710003.
[16]	Wang C, Mei X, Pan L, et al. NIR 3D GISC lidar on a balloon-borne platform[C]//Computational Optical Sensing and Imaging, 2017(1):JTu5A. 11.
[17]	Meyers R E, Deacon K S. System and method for image improvement and enhancement:US, 8948539[P]. 2015-02-03.
[18]	Sun M, Edgar M, Gibson G, et al. Single-pixel three-dimensional imaging with time-based depth resolution[J]. Nature Communications, 2016, 7:12010.
[19]	Zhang Y, Edgar M P, Sun B, et al. 3D single-pixel video[J]. Journal of Optics, 2016, 18(3):035203.
[20]	Wang C, Gong W, Shao X, et al. The influence of the property of random coded patterns on fluctuation-correlation ghost imaging[J]. Journal of Optics, 2016, 18(6):065703.
[21]	Yu H, Li E, Gong W, et al. Structured image reconstruction for three-dimensional ghost imaging lidar[J]. Optics Express, 2015, 23(11):14541-14551.
[22]	Zhang Cong, Gong Wenlin, Han Shensheng. Ghost imaging for moving targets and its application in remote sensing[J]. Chinese Journal of Lasers, 2012, 39(12):204-210. (in Chinese)张聪, 龚文林, 韩申生. 运动目标强度关联成像及其在遥感探测中的应用[J]. 中国激光, 2012, 39(12):204-210.
[23]	Li E, Bo Z, Chen M, et al. Ghost imaging of a moving target with an unknown constant speed[J]. Applied Physics Letters, 2014, 104(25):251120.
[24]	Li X, Deng C, Chen M, et al. Ghost imaging for an axially moving target with an unknown constant speed[J]. Photonics Research, 2015, 3(4):153-157.
[25]	Deng C, Pan L, Wang C, et al. Performance analysis of ghost imaging lidar in background light environment[J]. Photonics Research, 2017, 5(5):431-435.
[26]	Yang Y, Shi J, Cao F, et al. Computational imaging based on time-correlated single-photon-counting technique at low light level[J]. Applied Optics, 2015, 54(31):9277-9283.
[27]	Bo Zunwang, Gong Wenlin, Yan Yi, et al. Experimental research of ghost imaging based on photon counting[J]. Chinese Journal of Lasers, 2016, 43(11):1104001. (in Chinese)薄遵望, 龚文林, 严毅, 等. 基于光子计数的关联成像实验研究[J]. 中国激光, 2016, 43(11):1104001.

Recent research progress and thoughts on GISC Lidar with respect to practical applications

doi: 10.3788/IRLA201847.0302001

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References

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