D. Alley, B. Cochenour, and L. Mullen, “Remotely operated compact underwater temporally encoded imager: Cutei,” Proc. SPIE 9827, 982708 (2016).

[Crossref]

Y. Altmann, A. Maccarone, A. McCarthy, G. Newstadt, G. Buller, S. McLaughlin, and A. Hero, “Robust spectral unmixing of sparse multispectral lidar waveforms using gamma Markov random fields,” IEEE Trans. Comput. Imaging 3, 658–670 (2017).

[Crossref]

Y. Altmann, X. Ren, A. McCarthy, G. S. Buller, and S. McLaughlin, “Lidar waveform based analysis of depth images constructed using sparse single-photon data,” IEEE Trans. Image Process. 25, 1935–1946 (2016).

[Crossref]
[PubMed]

Y. Altmann, R. Tobin, A. Maccarone, X. Ren, A. Mccarthy, G. Buller, and S. Mclaughlin, “Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model,” in Proc. European Signal Processing Conf. (EUSIPCO) (Kos, Greece, 2017).

Y. Altmann, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, and S. McLaughlin, “Efficient range estimation and material quantification from multispectral lidar waveforms,” in Sensor Signal Processing for Defence (SSPD) Conference (Edinburgh, U.K., 2016).

Y. Altmann, A. Maccarone, A. McCarthy, G. Buller, and S. McLaughlin, “Joint spectral clustering and range estimation for 3d scene reconstruction using multispectral lidar waveforms,” in Proc. European Signal Processing Conf. (EUSIPCO) (Budapest, Hungary, 2016).

Y. Altmann, A. Maccarone, A. McCarthy, G. S. Buller, and S. McLaughlin, “Joint range estimation and spectral classification for 3D scene reconstruction using multispectral lidar waveforms,” in “Proc. IEEE-SP Workshop Stat. and Signal Processing,” (Palma de Mallorca, Spain, 2016).

M. Pereyra, N. Whiteley, C. Andrieu, and J.-Y. Tourneret, “Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm,” in “Proc. IEEE-SP Workshop Stat. and Signal Processing,” (Gold Coast, Australia, 2014).

M. Pereyra, N. Dobigeon, H. Batatia, and J.-Y. Tourneret, “Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm,” IEEE Trans. Image Process. 22, 2385–2397 (2013).

[Crossref]
[PubMed]

Y. Altmann, A. Maccarone, A. McCarthy, G. Newstadt, G. Buller, S. McLaughlin, and A. Hero, “Robust spectral unmixing of sparse multispectral lidar waveforms using gamma Markov random fields,” IEEE Trans. Comput. Imaging 3, 658–670 (2017).

[Crossref]

Y. Altmann, R. Tobin, A. Maccarone, X. Ren, A. Mccarthy, G. Buller, and S. Mclaughlin, “Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model,” in Proc. European Signal Processing Conf. (EUSIPCO) (Kos, Greece, 2017).

Y. Altmann, A. Maccarone, A. McCarthy, G. Buller, and S. McLaughlin, “Joint spectral clustering and range estimation for 3d scene reconstruction using multispectral lidar waveforms,” in Proc. European Signal Processing Conf. (EUSIPCO) (Budapest, Hungary, 2016).

A. M. Pawlikowska, A. Halimi, R. A. Lamb, and G. S. Buller, “Single-photon three-dimensional imaging at up to 10 kilometers range,” Opt. Express 25, 11919–11931 (2017).

[Crossref]
[PubMed]

Y. Altmann, X. Ren, A. McCarthy, G. S. Buller, and S. McLaughlin, “Lidar waveform based analysis of depth images constructed using sparse single-photon data,” IEEE Trans. Image Process. 25, 1935–1946 (2016).

[Crossref]
[PubMed]

A. Maccarone, A. McCarthy, X. Ren, R. E. Warburton, A. M. Wallace, J. Moffat, Y. Petillot, and G. S. Buller, “Underwater depth imaging using time-correlated single-photon counting,” Opt. Express 23, 33911–33926 (2015).

[Crossref]

A. McCarthy, X. Ren, A. D. Frera, N. R. Gemmell, N. J. Krichel, C. Scarcella, A. Ruggeri, A. Tosi, and G. S. Buller, “Kilometer-range depth imaging at 1550 nm wavelength using an InGaAs/InP single-photon avalanche diode detector,” Opt. Express 21, 22098–22113 (2013).

[Crossref]
[PubMed]

G. S. Buller, R. D. Harkins, A. McCarthy, P. A. Hiskett, G. R. MacKinnon, G. R. Smith, R. Sung, A. M. Wallace, R. A. Lamb, K. D. Ridley, and J. G. Rarity, “Multiple wavelength time-of-flight sensor based on time-correlated single-photon counting,” Rev. Sci. Instrum. 76, 083112 (2005).

[Crossref]

P. Chhabra, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, and A. Wallace, “Discriminating underwater lidar target signatures using sparse multi-spectral depth codes,” in Sensor Signal Processing for Defence (SSPD) Conference (Edinburgh, U.K., 2016).

Y. Altmann, A. Maccarone, A. McCarthy, G. S. Buller, and S. McLaughlin, “Joint range estimation and spectral classification for 3D scene reconstruction using multispectral lidar waveforms,” in “Proc. IEEE-SP Workshop Stat. and Signal Processing,” (Palma de Mallorca, Spain, 2016).

Y. Altmann, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, and S. McLaughlin, “Efficient range estimation and material quantification from multispectral lidar waveforms,” in Sensor Signal Processing for Defence (SSPD) Conference (Edinburgh, U.K., 2016).

A. Halimi, A. Maccarone, A. McCarthy, S. McLaughlin, and G. S. Buller, “Object depth profile and reflectivity restoration from sparse single-photon data acquired in underwater environments,” IEEE Trans. Comput. Imaging, in press (2017).

[Crossref]

A. Romero, C. Gatta, and G. Camps-Valls, “Unsupervised deep feature extraction for remote sensing image classification,” IEEE Trans. Geosci. and Remote Sensing 54, 1349–1362 (2016).

[Crossref]

A. Chambolle, “An algorithm for total variation minimization and applications,” J. Math. Imaging Vision 20, 89–97 (2004).

[Crossref]

P. Chhabra, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, and A. Wallace, “Discriminating underwater lidar target signatures using sparse multi-spectral depth codes,” in Sensor Signal Processing for Defence (SSPD) Conference (Edinburgh, U.K., 2016).

D. Alley, B. Cochenour, and L. Mullen, “Remotely operated compact underwater temporally encoded imager: Cutei,” Proc. SPIE 9827, 982708 (2016).

[Crossref]

A. Kirmani, D. Venkatraman, D. Shin, A. Colaço, F. N. C. Wong, J. H. Shapiro, and V. K. Goyal, “First-photon imaging,” Science 343, 58–61 (2014).

[Crossref]

J. J. Degnan and C. T. Field, “Moderate to high altitude, single photon sensitive, 3D imaging lidars,” Proc. SPIE 9114, Advanced Photon Counting Techniques VIII, 91140H (May 28, 2014).

M. Pereyra, N. Dobigeon, H. Batatia, and J.-Y. Tourneret, “Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm,” IEEE Trans. Image Process. 22, 2385–2397 (2013).

[Crossref]
[PubMed]

L. I. Rudin, S. Osher, and E. Fatemi, “Nonlinear total variation based noise removal algorithms,” Phys. D 60, 259–268 (1992).

[Crossref]

J. J. Degnan and C. T. Field, “Moderate to high altitude, single photon sensitive, 3D imaging lidars,” Proc. SPIE 9114, Advanced Photon Counting Techniques VIII, 91140H (May 28, 2014).

A. McCarthy, X. Ren, A. D. Frera, N. R. Gemmell, N. J. Krichel, C. Scarcella, A. Ruggeri, A. Tosi, and G. S. Buller, “Kilometer-range depth imaging at 1550 nm wavelength using an InGaAs/InP single-photon avalanche diode detector,” Opt. Express 21, 22098–22113 (2013).

[Crossref]
[PubMed]

A. Romero, C. Gatta, and G. Camps-Valls, “Unsupervised deep feature extraction for remote sensing image classification,” IEEE Trans. Geosci. and Remote Sensing 54, 1349–1362 (2016).

[Crossref]

A. McCarthy, X. Ren, A. D. Frera, N. R. Gemmell, N. J. Krichel, C. Scarcella, A. Ruggeri, A. Tosi, and G. S. Buller, “Kilometer-range depth imaging at 1550 nm wavelength using an InGaAs/InP single-photon avalanche diode detector,” Opt. Express 21, 22098–22113 (2013).

[Crossref]
[PubMed]

D. Shin, F. Xu, D. Venkatraman, R. Lussana, F. Villa, F. Zappa, V. K. Goyal, F. N. C. Wong, and J. H. Shapiro, “Photon-efficient imaging with a single-photon camera,” Nat. Communications 7, 12046 (2016).

[Crossref]

A. Kirmani, D. Venkatraman, D. Shin, A. Colaço, F. N. C. Wong, J. H. Shapiro, and V. K. Goyal, “First-photon imaging,” Science 343, 58–61 (2014).

[Crossref]

A. M. Pawlikowska, A. Halimi, R. A. Lamb, and G. S. Buller, “Single-photon three-dimensional imaging at up to 10 kilometers range,” Opt. Express 25, 11919–11931 (2017).

[Crossref]
[PubMed]

P. Chhabra, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, and A. Wallace, “Discriminating underwater lidar target signatures using sparse multi-spectral depth codes,” in Sensor Signal Processing for Defence (SSPD) Conference (Edinburgh, U.K., 2016).

Y. Altmann, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, and S. McLaughlin, “Efficient range estimation and material quantification from multispectral lidar waveforms,” in Sensor Signal Processing for Defence (SSPD) Conference (Edinburgh, U.K., 2016).

A. Halimi, A. Maccarone, A. McCarthy, S. McLaughlin, and G. S. Buller, “Object depth profile and reflectivity restoration from sparse single-photon data acquired in underwater environments,” IEEE Trans. Comput. Imaging, in press (2017).

[Crossref]

G. S. Buller, R. D. Harkins, A. McCarthy, P. A. Hiskett, G. R. MacKinnon, G. R. Smith, R. Sung, A. M. Wallace, R. A. Lamb, K. D. Ridley, and J. G. Rarity, “Multiple wavelength time-of-flight sensor based on time-correlated single-photon counting,” Rev. Sci. Instrum. 76, 083112 (2005).

[Crossref]

Y. Altmann, A. Maccarone, A. McCarthy, G. Newstadt, G. Buller, S. McLaughlin, and A. Hero, “Robust spectral unmixing of sparse multispectral lidar waveforms using gamma Markov random fields,” IEEE Trans. Comput. Imaging 3, 658–670 (2017).

[Crossref]

G. S. Buller, R. D. Harkins, A. McCarthy, P. A. Hiskett, G. R. MacKinnon, G. R. Smith, R. Sung, A. M. Wallace, R. A. Lamb, K. D. Ridley, and J. G. Rarity, “Multiple wavelength time-of-flight sensor based on time-correlated single-photon counting,” Rev. Sci. Instrum. 76, 083112 (2005).

[Crossref]

I. Jolliffe, Principal Component Analysis, Springer Series in Statistics (Springer, 2002).

A. Kirmani, D. Venkatraman, D. Shin, A. Colaço, F. N. C. Wong, J. H. Shapiro, and V. K. Goyal, “First-photon imaging,” Science 343, 58–61 (2014).

[Crossref]

A. McCarthy, X. Ren, A. D. Frera, N. R. Gemmell, N. J. Krichel, C. Scarcella, A. Ruggeri, A. Tosi, and G. S. Buller, “Kilometer-range depth imaging at 1550 nm wavelength using an InGaAs/InP single-photon avalanche diode detector,” Opt. Express 21, 22098–22113 (2013).

[Crossref]
[PubMed]

A. M. Pawlikowska, A. Halimi, R. A. Lamb, and G. S. Buller, “Single-photon three-dimensional imaging at up to 10 kilometers range,” Opt. Express 25, 11919–11931 (2017).

[Crossref]
[PubMed]

G. S. Buller, R. D. Harkins, A. McCarthy, P. A. Hiskett, G. R. MacKinnon, G. R. Smith, R. Sung, A. M. Wallace, R. A. Lamb, K. D. Ridley, and J. G. Rarity, “Multiple wavelength time-of-flight sensor based on time-correlated single-photon counting,” Rev. Sci. Instrum. 76, 083112 (2005).

[Crossref]

D. Shin, F. Xu, D. Venkatraman, R. Lussana, F. Villa, F. Zappa, V. K. Goyal, F. N. C. Wong, and J. H. Shapiro, “Photon-efficient imaging with a single-photon camera,” Nat. Communications 7, 12046 (2016).

[Crossref]

Y. Altmann, A. Maccarone, A. McCarthy, G. Newstadt, G. Buller, S. McLaughlin, and A. Hero, “Robust spectral unmixing of sparse multispectral lidar waveforms using gamma Markov random fields,” IEEE Trans. Comput. Imaging 3, 658–670 (2017).

[Crossref]

A. Maccarone, A. McCarthy, X. Ren, R. E. Warburton, A. M. Wallace, J. Moffat, Y. Petillot, and G. S. Buller, “Underwater depth imaging using time-correlated single-photon counting,” Opt. Express 23, 33911–33926 (2015).

[Crossref]

A. Halimi, A. Maccarone, A. McCarthy, S. McLaughlin, and G. S. Buller, “Object depth profile and reflectivity restoration from sparse single-photon data acquired in underwater environments,” IEEE Trans. Comput. Imaging, in press (2017).

[Crossref]

P. Chhabra, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, and A. Wallace, “Discriminating underwater lidar target signatures using sparse multi-spectral depth codes,” in Sensor Signal Processing for Defence (SSPD) Conference (Edinburgh, U.K., 2016).

Y. Altmann, A. Maccarone, A. McCarthy, G. S. Buller, and S. McLaughlin, “Joint range estimation and spectral classification for 3D scene reconstruction using multispectral lidar waveforms,” in “Proc. IEEE-SP Workshop Stat. and Signal Processing,” (Palma de Mallorca, Spain, 2016).

Y. Altmann, R. Tobin, A. Maccarone, X. Ren, A. Mccarthy, G. Buller, and S. Mclaughlin, “Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model,” in Proc. European Signal Processing Conf. (EUSIPCO) (Kos, Greece, 2017).

Y. Altmann, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, and S. McLaughlin, “Efficient range estimation and material quantification from multispectral lidar waveforms,” in Sensor Signal Processing for Defence (SSPD) Conference (Edinburgh, U.K., 2016).

Y. Altmann, A. Maccarone, A. McCarthy, G. Buller, and S. McLaughlin, “Joint spectral clustering and range estimation for 3d scene reconstruction using multispectral lidar waveforms,” in Proc. European Signal Processing Conf. (EUSIPCO) (Budapest, Hungary, 2016).

G. S. Buller, R. D. Harkins, A. McCarthy, P. A. Hiskett, G. R. MacKinnon, G. R. Smith, R. Sung, A. M. Wallace, R. A. Lamb, K. D. Ridley, and J. G. Rarity, “Multiple wavelength time-of-flight sensor based on time-correlated single-photon counting,” Rev. Sci. Instrum. 76, 083112 (2005).

[Crossref]

H. Xie, J. Bec, J. Liu, Y. Sun, M. Lam, D. R. Yankelevich, and L. Marcu, “Multispectral scanning time-resolved fluorescence spectroscopy (trfs) technique for intravascular diagnosis,” Biomed. Opt. Express 3, 1521–1533 (2012).

[Crossref]
[PubMed]

L. Marcu, “Fluorescence lifetime techniques in medical applications,” Ann. Biomed. Eng. 40, 304–331 (2012).

[Crossref]
[PubMed]

Y. Altmann, A. Maccarone, A. McCarthy, G. Newstadt, G. Buller, S. McLaughlin, and A. Hero, “Robust spectral unmixing of sparse multispectral lidar waveforms using gamma Markov random fields,” IEEE Trans. Comput. Imaging 3, 658–670 (2017).

[Crossref]

Y. Altmann, X. Ren, A. McCarthy, G. S. Buller, and S. McLaughlin, “Lidar waveform based analysis of depth images constructed using sparse single-photon data,” IEEE Trans. Image Process. 25, 1935–1946 (2016).

[Crossref]
[PubMed]

A. Maccarone, A. McCarthy, X. Ren, R. E. Warburton, A. M. Wallace, J. Moffat, Y. Petillot, and G. S. Buller, “Underwater depth imaging using time-correlated single-photon counting,” Opt. Express 23, 33911–33926 (2015).

[Crossref]

A. McCarthy, X. Ren, A. D. Frera, N. R. Gemmell, N. J. Krichel, C. Scarcella, A. Ruggeri, A. Tosi, and G. S. Buller, “Kilometer-range depth imaging at 1550 nm wavelength using an InGaAs/InP single-photon avalanche diode detector,” Opt. Express 21, 22098–22113 (2013).

[Crossref]
[PubMed]

G. S. Buller, R. D. Harkins, A. McCarthy, P. A. Hiskett, G. R. MacKinnon, G. R. Smith, R. Sung, A. M. Wallace, R. A. Lamb, K. D. Ridley, and J. G. Rarity, “Multiple wavelength time-of-flight sensor based on time-correlated single-photon counting,” Rev. Sci. Instrum. 76, 083112 (2005).

[Crossref]

Y. Altmann, A. Maccarone, A. McCarthy, G. S. Buller, and S. McLaughlin, “Joint range estimation and spectral classification for 3D scene reconstruction using multispectral lidar waveforms,” in “Proc. IEEE-SP Workshop Stat. and Signal Processing,” (Palma de Mallorca, Spain, 2016).

P. Chhabra, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, and A. Wallace, “Discriminating underwater lidar target signatures using sparse multi-spectral depth codes,” in Sensor Signal Processing for Defence (SSPD) Conference (Edinburgh, U.K., 2016).

Y. Altmann, A. Maccarone, A. McCarthy, G. Buller, and S. McLaughlin, “Joint spectral clustering and range estimation for 3d scene reconstruction using multispectral lidar waveforms,” in Proc. European Signal Processing Conf. (EUSIPCO) (Budapest, Hungary, 2016).

Y. Altmann, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, and S. McLaughlin, “Efficient range estimation and material quantification from multispectral lidar waveforms,” in Sensor Signal Processing for Defence (SSPD) Conference (Edinburgh, U.K., 2016).

Y. Altmann, R. Tobin, A. Maccarone, X. Ren, A. Mccarthy, G. Buller, and S. Mclaughlin, “Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model,” in Proc. European Signal Processing Conf. (EUSIPCO) (Kos, Greece, 2017).

A. Halimi, A. Maccarone, A. McCarthy, S. McLaughlin, and G. S. Buller, “Object depth profile and reflectivity restoration from sparse single-photon data acquired in underwater environments,” IEEE Trans. Comput. Imaging, in press (2017).

[Crossref]

Y. Altmann, A. Maccarone, A. McCarthy, G. Newstadt, G. Buller, S. McLaughlin, and A. Hero, “Robust spectral unmixing of sparse multispectral lidar waveforms using gamma Markov random fields,” IEEE Trans. Comput. Imaging 3, 658–670 (2017).

[Crossref]

Y. Altmann, X. Ren, A. McCarthy, G. S. Buller, and S. McLaughlin, “Lidar waveform based analysis of depth images constructed using sparse single-photon data,” IEEE Trans. Image Process. 25, 1935–1946 (2016).

[Crossref]
[PubMed]

Y. Altmann, R. Tobin, A. Maccarone, X. Ren, A. Mccarthy, G. Buller, and S. Mclaughlin, “Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model,” in Proc. European Signal Processing Conf. (EUSIPCO) (Kos, Greece, 2017).

Y. Altmann, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, and S. McLaughlin, “Efficient range estimation and material quantification from multispectral lidar waveforms,” in Sensor Signal Processing for Defence (SSPD) Conference (Edinburgh, U.K., 2016).

Y. Altmann, A. Maccarone, A. McCarthy, G. Buller, and S. McLaughlin, “Joint spectral clustering and range estimation for 3d scene reconstruction using multispectral lidar waveforms,” in Proc. European Signal Processing Conf. (EUSIPCO) (Budapest, Hungary, 2016).

Y. Altmann, A. Maccarone, A. McCarthy, G. S. Buller, and S. McLaughlin, “Joint range estimation and spectral classification for 3D scene reconstruction using multispectral lidar waveforms,” in “Proc. IEEE-SP Workshop Stat. and Signal Processing,” (Palma de Mallorca, Spain, 2016).

A. Halimi, A. Maccarone, A. McCarthy, S. McLaughlin, and G. S. Buller, “Object depth profile and reflectivity restoration from sparse single-photon data acquired in underwater environments,” IEEE Trans. Comput. Imaging, in press (2017).

[Crossref]

A. Maccarone, A. McCarthy, X. Ren, R. E. Warburton, A. M. Wallace, J. Moffat, Y. Petillot, and G. S. Buller, “Underwater depth imaging using time-correlated single-photon counting,” Opt. Express 23, 33911–33926 (2015).

[Crossref]

D. Alley, B. Cochenour, and L. Mullen, “Remotely operated compact underwater temporally encoded imager: Cutei,” Proc. SPIE 9827, 982708 (2016).

[Crossref]

Y. Altmann, A. Maccarone, A. McCarthy, G. Newstadt, G. Buller, S. McLaughlin, and A. Hero, “Robust spectral unmixing of sparse multispectral lidar waveforms using gamma Markov random fields,” IEEE Trans. Comput. Imaging 3, 658–670 (2017).

[Crossref]

L. I. Rudin, S. Osher, and E. Fatemi, “Nonlinear total variation based noise removal algorithms,” Phys. D 60, 259–268 (1992).

[Crossref]

M. Pereyra, N. Dobigeon, H. Batatia, and J.-Y. Tourneret, “Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm,” IEEE Trans. Image Process. 22, 2385–2397 (2013).

[Crossref]
[PubMed]

M. Pereyra, N. Whiteley, C. Andrieu, and J.-Y. Tourneret, “Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm,” in “Proc. IEEE-SP Workshop Stat. and Signal Processing,” (Gold Coast, Australia, 2014).

A. Maccarone, A. McCarthy, X. Ren, R. E. Warburton, A. M. Wallace, J. Moffat, Y. Petillot, and G. S. Buller, “Underwater depth imaging using time-correlated single-photon counting,” Opt. Express 23, 33911–33926 (2015).

[Crossref]

G. S. Buller, R. D. Harkins, A. McCarthy, P. A. Hiskett, G. R. MacKinnon, G. R. Smith, R. Sung, A. M. Wallace, R. A. Lamb, K. D. Ridley, and J. G. Rarity, “Multiple wavelength time-of-flight sensor based on time-correlated single-photon counting,” Rev. Sci. Instrum. 76, 083112 (2005).

[Crossref]

Y. Altmann, X. Ren, A. McCarthy, G. S. Buller, and S. McLaughlin, “Lidar waveform based analysis of depth images constructed using sparse single-photon data,” IEEE Trans. Image Process. 25, 1935–1946 (2016).

[Crossref]
[PubMed]

A. Maccarone, A. McCarthy, X. Ren, R. E. Warburton, A. M. Wallace, J. Moffat, Y. Petillot, and G. S. Buller, “Underwater depth imaging using time-correlated single-photon counting,” Opt. Express 23, 33911–33926 (2015).

[Crossref]

A. McCarthy, X. Ren, A. D. Frera, N. R. Gemmell, N. J. Krichel, C. Scarcella, A. Ruggeri, A. Tosi, and G. S. Buller, “Kilometer-range depth imaging at 1550 nm wavelength using an InGaAs/InP single-photon avalanche diode detector,” Opt. Express 21, 22098–22113 (2013).

[Crossref]
[PubMed]

Y. Altmann, R. Tobin, A. Maccarone, X. Ren, A. Mccarthy, G. Buller, and S. Mclaughlin, “Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model,” in Proc. European Signal Processing Conf. (EUSIPCO) (Kos, Greece, 2017).

G. S. Buller, R. D. Harkins, A. McCarthy, P. A. Hiskett, G. R. MacKinnon, G. R. Smith, R. Sung, A. M. Wallace, R. A. Lamb, K. D. Ridley, and J. G. Rarity, “Multiple wavelength time-of-flight sensor based on time-correlated single-photon counting,” Rev. Sci. Instrum. 76, 083112 (2005).

[Crossref]

A. Romero, C. Gatta, and G. Camps-Valls, “Unsupervised deep feature extraction for remote sensing image classification,” IEEE Trans. Geosci. and Remote Sensing 54, 1349–1362 (2016).

[Crossref]

L. I. Rudin, S. Osher, and E. Fatemi, “Nonlinear total variation based noise removal algorithms,” Phys. D 60, 259–268 (1992).

[Crossref]

A. McCarthy, X. Ren, A. D. Frera, N. R. Gemmell, N. J. Krichel, C. Scarcella, A. Ruggeri, A. Tosi, and G. S. Buller, “Kilometer-range depth imaging at 1550 nm wavelength using an InGaAs/InP single-photon avalanche diode detector,” Opt. Express 21, 22098–22113 (2013).

[Crossref]
[PubMed]

A. McCarthy, X. Ren, A. D. Frera, N. R. Gemmell, N. J. Krichel, C. Scarcella, A. Ruggeri, A. Tosi, and G. S. Buller, “Kilometer-range depth imaging at 1550 nm wavelength using an InGaAs/InP single-photon avalanche diode detector,” Opt. Express 21, 22098–22113 (2013).

[Crossref]
[PubMed]

D. Shin, F. Xu, D. Venkatraman, R. Lussana, F. Villa, F. Zappa, V. K. Goyal, F. N. C. Wong, and J. H. Shapiro, “Photon-efficient imaging with a single-photon camera,” Nat. Communications 7, 12046 (2016).

[Crossref]

A. Kirmani, D. Venkatraman, D. Shin, A. Colaço, F. N. C. Wong, J. H. Shapiro, and V. K. Goyal, “First-photon imaging,” Science 343, 58–61 (2014).

[Crossref]

D. Shin, F. Xu, D. Venkatraman, R. Lussana, F. Villa, F. Zappa, V. K. Goyal, F. N. C. Wong, and J. H. Shapiro, “Photon-efficient imaging with a single-photon camera,” Nat. Communications 7, 12046 (2016).

[Crossref]

A. Kirmani, D. Venkatraman, D. Shin, A. Colaço, F. N. C. Wong, J. H. Shapiro, and V. K. Goyal, “First-photon imaging,” Science 343, 58–61 (2014).

[Crossref]

G. S. Buller, R. D. Harkins, A. McCarthy, P. A. Hiskett, G. R. MacKinnon, G. R. Smith, R. Sung, A. M. Wallace, R. A. Lamb, K. D. Ridley, and J. G. Rarity, “Multiple wavelength time-of-flight sensor based on time-correlated single-photon counting,” Rev. Sci. Instrum. 76, 083112 (2005).

[Crossref]

G. S. Buller, R. D. Harkins, A. McCarthy, P. A. Hiskett, G. R. MacKinnon, G. R. Smith, R. Sung, A. M. Wallace, R. A. Lamb, K. D. Ridley, and J. G. Rarity, “Multiple wavelength time-of-flight sensor based on time-correlated single-photon counting,” Rev. Sci. Instrum. 76, 083112 (2005).

[Crossref]

Y. Altmann, R. Tobin, A. Maccarone, X. Ren, A. Mccarthy, G. Buller, and S. Mclaughlin, “Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model,” in Proc. European Signal Processing Conf. (EUSIPCO) (Kos, Greece, 2017).

A. McCarthy, X. Ren, A. D. Frera, N. R. Gemmell, N. J. Krichel, C. Scarcella, A. Ruggeri, A. Tosi, and G. S. Buller, “Kilometer-range depth imaging at 1550 nm wavelength using an InGaAs/InP single-photon avalanche diode detector,” Opt. Express 21, 22098–22113 (2013).

[Crossref]
[PubMed]

M. Pereyra, N. Dobigeon, H. Batatia, and J.-Y. Tourneret, “Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm,” IEEE Trans. Image Process. 22, 2385–2397 (2013).

[Crossref]
[PubMed]

M. Pereyra, N. Whiteley, C. Andrieu, and J.-Y. Tourneret, “Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm,” in “Proc. IEEE-SP Workshop Stat. and Signal Processing,” (Gold Coast, Australia, 2014).

D. Shin, F. Xu, D. Venkatraman, R. Lussana, F. Villa, F. Zappa, V. K. Goyal, F. N. C. Wong, and J. H. Shapiro, “Photon-efficient imaging with a single-photon camera,” Nat. Communications 7, 12046 (2016).

[Crossref]

A. Kirmani, D. Venkatraman, D. Shin, A. Colaço, F. N. C. Wong, J. H. Shapiro, and V. K. Goyal, “First-photon imaging,” Science 343, 58–61 (2014).

[Crossref]

D. Shin, F. Xu, D. Venkatraman, R. Lussana, F. Villa, F. Zappa, V. K. Goyal, F. N. C. Wong, and J. H. Shapiro, “Photon-efficient imaging with a single-photon camera,” Nat. Communications 7, 12046 (2016).

[Crossref]

P. Chhabra, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, and A. Wallace, “Discriminating underwater lidar target signatures using sparse multi-spectral depth codes,” in Sensor Signal Processing for Defence (SSPD) Conference (Edinburgh, U.K., 2016).

A. Maccarone, A. McCarthy, X. Ren, R. E. Warburton, A. M. Wallace, J. Moffat, Y. Petillot, and G. S. Buller, “Underwater depth imaging using time-correlated single-photon counting,” Opt. Express 23, 33911–33926 (2015).

[Crossref]

G. S. Buller, R. D. Harkins, A. McCarthy, P. A. Hiskett, G. R. MacKinnon, G. R. Smith, R. Sung, A. M. Wallace, R. A. Lamb, K. D. Ridley, and J. G. Rarity, “Multiple wavelength time-of-flight sensor based on time-correlated single-photon counting,” Rev. Sci. Instrum. 76, 083112 (2005).

[Crossref]

A. Maccarone, A. McCarthy, X. Ren, R. E. Warburton, A. M. Wallace, J. Moffat, Y. Petillot, and G. S. Buller, “Underwater depth imaging using time-correlated single-photon counting,” Opt. Express 23, 33911–33926 (2015).

[Crossref]

M. Pereyra, N. Whiteley, C. Andrieu, and J.-Y. Tourneret, “Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm,” in “Proc. IEEE-SP Workshop Stat. and Signal Processing,” (Gold Coast, Australia, 2014).

D. Shin, F. Xu, D. Venkatraman, R. Lussana, F. Villa, F. Zappa, V. K. Goyal, F. N. C. Wong, and J. H. Shapiro, “Photon-efficient imaging with a single-photon camera,” Nat. Communications 7, 12046 (2016).

[Crossref]

A. Kirmani, D. Venkatraman, D. Shin, A. Colaço, F. N. C. Wong, J. H. Shapiro, and V. K. Goyal, “First-photon imaging,” Science 343, 58–61 (2014).

[Crossref]

D. Shin, F. Xu, D. Venkatraman, R. Lussana, F. Villa, F. Zappa, V. K. Goyal, F. N. C. Wong, and J. H. Shapiro, “Photon-efficient imaging with a single-photon camera,” Nat. Communications 7, 12046 (2016).

[Crossref]

D. Shin, F. Xu, D. Venkatraman, R. Lussana, F. Villa, F. Zappa, V. K. Goyal, F. N. C. Wong, and J. H. Shapiro, “Photon-efficient imaging with a single-photon camera,” Nat. Communications 7, 12046 (2016).

[Crossref]

L. Marcu, “Fluorescence lifetime techniques in medical applications,” Ann. Biomed. Eng. 40, 304–331 (2012).

[Crossref]
[PubMed]

Y. Altmann, A. Maccarone, A. McCarthy, G. Newstadt, G. Buller, S. McLaughlin, and A. Hero, “Robust spectral unmixing of sparse multispectral lidar waveforms using gamma Markov random fields,” IEEE Trans. Comput. Imaging 3, 658–670 (2017).

[Crossref]

A. Romero, C. Gatta, and G. Camps-Valls, “Unsupervised deep feature extraction for remote sensing image classification,” IEEE Trans. Geosci. and Remote Sensing 54, 1349–1362 (2016).

[Crossref]

Y. Altmann, X. Ren, A. McCarthy, G. S. Buller, and S. McLaughlin, “Lidar waveform based analysis of depth images constructed using sparse single-photon data,” IEEE Trans. Image Process. 25, 1935–1946 (2016).

[Crossref]
[PubMed]

M. Pereyra, N. Dobigeon, H. Batatia, and J.-Y. Tourneret, “Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm,” IEEE Trans. Image Process. 22, 2385–2397 (2013).

[Crossref]
[PubMed]

A. Chambolle, “An algorithm for total variation minimization and applications,” J. Math. Imaging Vision 20, 89–97 (2004).

[Crossref]

D. Shin, F. Xu, D. Venkatraman, R. Lussana, F. Villa, F. Zappa, V. K. Goyal, F. N. C. Wong, and J. H. Shapiro, “Photon-efficient imaging with a single-photon camera,” Nat. Communications 7, 12046 (2016).

[Crossref]

A. McCarthy, X. Ren, A. D. Frera, N. R. Gemmell, N. J. Krichel, C. Scarcella, A. Ruggeri, A. Tosi, and G. S. Buller, “Kilometer-range depth imaging at 1550 nm wavelength using an InGaAs/InP single-photon avalanche diode detector,” Opt. Express 21, 22098–22113 (2013).

[Crossref]
[PubMed]

A. Maccarone, A. McCarthy, X. Ren, R. E. Warburton, A. M. Wallace, J. Moffat, Y. Petillot, and G. S. Buller, “Underwater depth imaging using time-correlated single-photon counting,” Opt. Express 23, 33911–33926 (2015).

[Crossref]

A. M. Pawlikowska, A. Halimi, R. A. Lamb, and G. S. Buller, “Single-photon three-dimensional imaging at up to 10 kilometers range,” Opt. Express 25, 11919–11931 (2017).

[Crossref]
[PubMed]

L. I. Rudin, S. Osher, and E. Fatemi, “Nonlinear total variation based noise removal algorithms,” Phys. D 60, 259–268 (1992).

[Crossref]

D. Alley, B. Cochenour, and L. Mullen, “Remotely operated compact underwater temporally encoded imager: Cutei,” Proc. SPIE 9827, 982708 (2016).

[Crossref]

G. S. Buller, R. D. Harkins, A. McCarthy, P. A. Hiskett, G. R. MacKinnon, G. R. Smith, R. Sung, A. M. Wallace, R. A. Lamb, K. D. Ridley, and J. G. Rarity, “Multiple wavelength time-of-flight sensor based on time-correlated single-photon counting,” Rev. Sci. Instrum. 76, 083112 (2005).

[Crossref]

A. Kirmani, D. Venkatraman, D. Shin, A. Colaço, F. N. C. Wong, J. H. Shapiro, and V. K. Goyal, “First-photon imaging,” Science 343, 58–61 (2014).

[Crossref]

Y. Altmann, R. Tobin, A. Maccarone, X. Ren, A. Mccarthy, G. Buller, and S. Mclaughlin, “Bayesian algorithm for unsupervised unmixing of hyperspectral images using a post-nonlinear model,” in Proc. European Signal Processing Conf. (EUSIPCO) (Kos, Greece, 2017).

M. Pereyra, N. Whiteley, C. Andrieu, and J.-Y. Tourneret, “Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm,” in “Proc. IEEE-SP Workshop Stat. and Signal Processing,” (Gold Coast, Australia, 2014).

I. Jolliffe, Principal Component Analysis, Springer Series in Statistics (Springer, 2002).

J. J. Degnan and C. T. Field, “Moderate to high altitude, single photon sensitive, 3D imaging lidars,” Proc. SPIE 9114, Advanced Photon Counting Techniques VIII, 91140H (May 28, 2014).

P. Chhabra, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, and A. Wallace, “Discriminating underwater lidar target signatures using sparse multi-spectral depth codes,” in Sensor Signal Processing for Defence (SSPD) Conference (Edinburgh, U.K., 2016).

A. Halimi, A. Maccarone, A. McCarthy, S. McLaughlin, and G. S. Buller, “Object depth profile and reflectivity restoration from sparse single-photon data acquired in underwater environments,” IEEE Trans. Comput. Imaging, in press (2017).

[Crossref]

Y. Altmann, A. Maccarone, A. McCarthy, G. Buller, and S. McLaughlin, “Joint spectral clustering and range estimation for 3d scene reconstruction using multispectral lidar waveforms,” in Proc. European Signal Processing Conf. (EUSIPCO) (Budapest, Hungary, 2016).

Y. Altmann, A. Maccarone, A. McCarthy, G. S. Buller, and S. McLaughlin, “Joint range estimation and spectral classification for 3D scene reconstruction using multispectral lidar waveforms,” in “Proc. IEEE-SP Workshop Stat. and Signal Processing,” (Palma de Mallorca, Spain, 2016).

Y. Altmann, A. Maccarone, A. Halimi, A. McCarthy, G. S. Buller, and S. McLaughlin, “Efficient range estimation and material quantification from multispectral lidar waveforms,” in Sensor Signal Processing for Defence (SSPD) Conference (Edinburgh, U.K., 2016).