Abstract

The hyperspectral data and 3D structural data are highly useful in botanical research. But, the two types of information are often acquired separately and hard to be combined. In this work, a novel dual-path configuration based on acousto-optical tunable filter (AOTF) is proposed to acquire an image, structural and hyperspectral information within one acquisition process by a combination of laser triangulation. Under the configuration, the hyperspectral data and the 3D structure can be matched to subpixel level after geometrical calibration. Finally, the obtainment of 3D hyperspectral information in field experiment verifies the feasibility of this imaging system.

© 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

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References

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    [Crossref]
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  35. H. J. Zhao, P. W. Zhou, Y. Zhang, and C. C. Li, “Lateral chromatic aberrations correction for AOTF imaging spectrometer based on doublet prism,” Guangpuxue Yu Guangpu Fenxi 33(10), 2869–2874 (2013).
    [PubMed]
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2017 (2)

H. J. Zhao, S. G. Shi, X. F. Gu, G. R. Jia, and L. B. Xu, “Integrated system for auto-registered hyperspectral and 3D structure measurement at the point scale,” Remote Sens. 9(6), 512 (2017).
[Crossref]

H. Zhao, S. Shi, H. Jiang, Y. Zhang, and Z. Xu, “Calibration of AOTF-based 3D measurement system using multiplane model based on phase fringe and BP neural network,” Opt. Express 25(9), 10413–10433 (2017).
[Crossref] [PubMed]

2016 (3)

W. Feng, H. Rueda, C. Fu, G. R. Arce, W. He, and Q. Chen, “3D compressive spectral integral imaging,” Opt. Express 24(22), 24859–24871 (2016).
[Crossref] [PubMed]

J. Behmann, A. Mahlein, S. Paulus, J. Dupuius, H. kuhlmann, E. Oerke, and L. Plumer, “Generation and application of hyperspectral 3D plant models: methods and challenges,” Mach. Vis. Appl. 27(5), 611–624 (2016).
[Crossref]

E. Ivorra, S. Verdu, A. J. Sánchez, R. Grau, and J. M. Barat, “Predicting gilthead sea bream (sparus aurata) freshness by a novel combined technique of 3D imaging and SW-NIR spectral analysis,” Sensors (Basel) 16(10), 1735 (2016).
[Crossref] [PubMed]

2015 (4)

F. Zhao, Y. G. Li, X. Dai, W. Verhoef, Y. Q. Guo, H. Shang, X. F. Gu, Y. B. Huang, T. Yu, and J. X. Huang, “Simulated impact of sensor field of view and distance on field measurements of bidirectional reflectance factors for row crops,” Remote Sens. Environ. 156, 129–142 (2015).
[Crossref]

J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
[Crossref]

H. Aasen, A. Burkart, A. Bolten, and G. Bareth, “Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance,” ISPRS J. Photogramm. Remote Sens. 108(5), 245–259 (2015).
[Crossref]

J. Gastellu-Etchegorry, T. G. Yin, T. Cajgfinger, and E. Grau, “Discrete anisotropic radiative transfer (DART 5) for modeling airborne and satellite spectroradiometer and LIDAR acquisitions of natural and urban landscapes,” Remote Sens. 7(2), 1667–1701 (2015).
[Crossref]

2014 (5)

J. Geipel, J. Link, and W. Claupein, “Combined spectral and spatial modeling of corn yield based on aerial images and crop surface models acquired with an unmanned aircraft system,” Remote Sens. 6(11), 10335–10355 (2014).
[Crossref]

Z. P. He, B. Y. Wang, G. Lü, C. L. Li, L. Y. Yuan, R. Xu, B. Liu, K. Chen, and J. Y. Wang, “Operating principles and detection characteristics of the visible and near-infrared imaging spectrometer in the Chang’e-3,” Res. Astron. Astrophys. 14(12), 1567–1577 (2014).
[Crossref]

H. D. Liang, A. Lucian, R. Lange, C. S. Cheung, and B. Su, “Remote spectral imaging with simultaneous extraction of 3D topography for historical wall paintings,” ISPRS J. Photogramm. Remote Sens. 95(3), 13–22 (2014).
[Crossref]

X. D. Li, H. J. Zhao, Y. Liu, H. J. Jiang, and Y. Bian, “Laser scanning based three dimensional measurement of vegetation canopy structure,” Opt. Lasers Eng. 54, 152–158 (2014).
[Crossref]

H. Zhao, C. Li, and Y. Zhang, “Three-surface model for the ray tracing of an imaging acousto-optic tunable filter,” Appl. Opt. 53(32), 7684–7690 (2014).
[Crossref] [PubMed]

2013 (3)

H. J. Zhao, P. W. Zhou, Y. Zhang, and C. C. Li, “Lateral chromatic aberrations correction for AOTF imaging spectrometer based on doublet prism,” Guangpuxue Yu Guangpu Fenxi 33(10), 2869–2874 (2013).
[PubMed]

L. Granero-Montagud, C. Portalés, B. Pastor-Carbonell, E. Ribes-Gómez, A. Gutiérrez-Lucas, V. Tornari, V. Papadakis, R. M. Groves, B. Sirmacek, A. Bonazza, I. Ozga, J. Vermeiren, K. Zanden, M. Föster, P. Aswendt, A. Borreman, J. D. Ward, A. Cardoso, L. Aguiar, F. Alves, P. Ropret, J. M. Luzón-Nogué, and C. Dietz, “SYDDARTA: new methodology for digitization of deterioration estimation in paintings,” Proc. SPIE 8790, 879011 (2013).
[Crossref]

S. L. Liang, X. Zhao, S. H. Liu, W. P. Yuan, X. Cheng, Z. Q. Xiao, X. T. Zhang, Q. Liu, J. Cheng, H. R. Tang, T. H. Qu, Y. C. Bo, Y. Qu, H. Z. Ren, K. Yu, and J. Townshend, “A long-term global land surface satellite (GLASS) data-set for environmental studies,” Int. J. Digit. Earth 6(sup1), 5–33 (2013).
[Crossref]

2012 (3)

M. H. Kim, T. A. Harvey, D. S. Kittle, H. Rushmeier, J. Dorsey, R. O. Prum, and B. J. Javidi, “3D imaging spectroscopy for measuring hyperspectral patterns on solid objects,” ACM Trans. Graph. 31(4), 13–15 (2012).
[Crossref]

C. Zhou, H. Wang, Y. Li, and X. H. Bai, “There-dimensional surface full color imaging of microstructure by fourier transform,” Guangdian Gongcheng 39(2), 74–80 (2012).

M. A. Powers and C. C. Davis, “Spectral LADAR: active range-resolved three-dimensional imaging spectroscopy,” Appl. Opt. 51(10), 1468–1478 (2012).
[Crossref] [PubMed]

2008 (1)

J. E. Anderson, L. C. Plourde, M. E. Martin, B. H. Braswell, M. Smith, R. O. Dubayah, M. A. Hofton, and J. B. Blair, “Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest,” Remote Sens. Environ. 112(4), 1856–1870 (2008).
[Crossref]

2006 (1)

N. Brusco, S. Capeleto, M. Fedel, A. Paviotti, L. Poletto, G. M. Cortelazzo, and G. Tondello, “A system for 3D modeling frescoed historical buildings with multispectral texture information,” Mach. Vis. Appl. 17(6), 373–393 (2006).
[Crossref]

2005 (3)

J. Vila, J. Calpea, F. Pla, L. Gómez, J. Connell, J. Marchant, J. Calleja, M. Mulqueen, J. Muñz, and A. Klaren, “SmartSpectra: applying multispectral imaging to industrial environments,” Real-Time Imaging 11(2), 85–98 (2005).
[Crossref]

N. Gupta, “Acousto-optic-tunable-filter-based spectropolarimetric imagers for medical diagnostic applications-instrument design point of view,” J. Biomed. Opt. 10(5), 051802 (2005).
[Crossref] [PubMed]

V. Alchanatis, L. Ridel, A. Hetzroni, and L. Yaroslavsky, “Weed detection in multi-spectral images of cotton fields,” Comput. Electron. Agric. 47(3), 243–260 (2005).
[Crossref]

2004 (3)

D. G. Lowe, “Distinctive image features from scale-invariant keypoints,” Int. J. Comput. Vis. 60(2), 91–110 (2004).
[Crossref]

T. Tanaka, H. Park, and S. Hattori, “Measurement of forest canopy structure by a laser plane range-finding method: improvement of radiative resolution and examples of its application,” Agric. For. Meteorol. 125(1-2), 129–142 (2004).
[Crossref]

D. R. Suhre, L. J. Denes, and N. Gupta, “Telecentric confocal optics for aberration correction of acousto-optic tunable filters,” Appl. Opt. 43(6), 1255–1260 (2004).
[Crossref] [PubMed]

2003 (1)

D. A. Glenar, D. L. Blaney, and J. J. Hillman, “AIMS: acousto-optic imaging spectrometer for spectral mapping of solid surfaces,” Acta Astronaut. 52(2-6), 389–396 (2003).
[Crossref]

2002 (1)

2001 (1)

1995 (1)

L. H. Taylor, D. R. Shure, S. A. Wutzke, P. L. Ulerich, G. D. Baldwin, M. T. Meyers, and J. E. Odhner, “Infrared spectroradiometer design based on an acousto-optic tunable filter,” Proc. SPIE 2480, 334–345 (1995).
[Crossref]

1994 (1)

1981 (1)

M. A. Fischler and R. C. Bolles, “Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,” Commun. ACM 24(6), 381–395 (1981).
[Crossref]

1976 (1)

I. C. Chang, “Acoustooptic devices and applications,” IEEE Trans. Sonics Ultrason. 23(1), 2–21 (1976).
[Crossref]

1974 (1)

I. C. Chang, “Non-collinear acousto-optic filter with large angular aperture,” Appl. Phys. Lett. 25(7), 370–372 (1974).
[Crossref]

Aasen, H.

H. Aasen, A. Burkart, A. Bolten, and G. Bareth, “Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance,” ISPRS J. Photogramm. Remote Sens. 108(5), 245–259 (2015).
[Crossref]

Adams, J.

J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
[Crossref]

Aguiar, L.

L. Granero-Montagud, C. Portalés, B. Pastor-Carbonell, E. Ribes-Gómez, A. Gutiérrez-Lucas, V. Tornari, V. Papadakis, R. M. Groves, B. Sirmacek, A. Bonazza, I. Ozga, J. Vermeiren, K. Zanden, M. Föster, P. Aswendt, A. Borreman, J. D. Ward, A. Cardoso, L. Aguiar, F. Alves, P. Ropret, J. M. Luzón-Nogué, and C. Dietz, “SYDDARTA: new methodology for digitization of deterioration estimation in paintings,” Proc. SPIE 8790, 879011 (2013).
[Crossref]

Alchanatis, V.

V. Alchanatis, L. Ridel, A. Hetzroni, and L. Yaroslavsky, “Weed detection in multi-spectral images of cotton fields,” Comput. Electron. Agric. 47(3), 243–260 (2005).
[Crossref]

Alves, F.

L. Granero-Montagud, C. Portalés, B. Pastor-Carbonell, E. Ribes-Gómez, A. Gutiérrez-Lucas, V. Tornari, V. Papadakis, R. M. Groves, B. Sirmacek, A. Bonazza, I. Ozga, J. Vermeiren, K. Zanden, M. Föster, P. Aswendt, A. Borreman, J. D. Ward, A. Cardoso, L. Aguiar, F. Alves, P. Ropret, J. M. Luzón-Nogué, and C. Dietz, “SYDDARTA: new methodology for digitization of deterioration estimation in paintings,” Proc. SPIE 8790, 879011 (2013).
[Crossref]

Anderson, J. E.

J. E. Anderson, L. C. Plourde, M. E. Martin, B. H. Braswell, M. Smith, R. O. Dubayah, M. A. Hofton, and J. B. Blair, “Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest,” Remote Sens. Environ. 112(4), 1856–1870 (2008).
[Crossref]

Andredakis, I.

J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
[Crossref]

Arce, G. R.

Aswendt, P.

L. Granero-Montagud, C. Portalés, B. Pastor-Carbonell, E. Ribes-Gómez, A. Gutiérrez-Lucas, V. Tornari, V. Papadakis, R. M. Groves, B. Sirmacek, A. Bonazza, I. Ozga, J. Vermeiren, K. Zanden, M. Föster, P. Aswendt, A. Borreman, J. D. Ward, A. Cardoso, L. Aguiar, F. Alves, P. Ropret, J. M. Luzón-Nogué, and C. Dietz, “SYDDARTA: new methodology for digitization of deterioration estimation in paintings,” Proc. SPIE 8790, 879011 (2013).
[Crossref]

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J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
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Fischler, M. A.

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Gastellu-Etchegorry, J.

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J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
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Jiang, H. J.

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L. Granero-Montagud, C. Portalés, B. Pastor-Carbonell, E. Ribes-Gómez, A. Gutiérrez-Lucas, V. Tornari, V. Papadakis, R. M. Groves, B. Sirmacek, A. Bonazza, I. Ozga, J. Vermeiren, K. Zanden, M. Föster, P. Aswendt, A. Borreman, J. D. Ward, A. Cardoso, L. Aguiar, F. Alves, P. Ropret, J. M. Luzón-Nogué, and C. Dietz, “SYDDARTA: new methodology for digitization of deterioration estimation in paintings,” Proc. SPIE 8790, 879011 (2013).
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J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
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J. E. Anderson, L. C. Plourde, M. E. Martin, B. H. Braswell, M. Smith, R. O. Dubayah, M. A. Hofton, and J. B. Blair, “Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest,” Remote Sens. Environ. 112(4), 1856–1870 (2008).
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J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
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J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
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Morsdorf, F.

J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
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Mottus, M.

J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
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Mulqueen, M.

J. Vila, J. Calpea, F. Pla, L. Gómez, J. Connell, J. Marchant, J. Calleja, M. Mulqueen, J. Muñz, and A. Klaren, “SmartSpectra: applying multispectral imaging to industrial environments,” Real-Time Imaging 11(2), 85–98 (2005).
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Muñz, J.

J. Vila, J. Calpea, F. Pla, L. Gómez, J. Connell, J. Marchant, J. Calleja, M. Mulqueen, J. Muñz, and A. Klaren, “SmartSpectra: applying multispectral imaging to industrial environments,” Real-Time Imaging 11(2), 85–98 (2005).
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Ni-Meister, W.

J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
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Odhner, J. E.

L. H. Taylor, D. R. Shure, S. A. Wutzke, P. L. Ulerich, G. D. Baldwin, M. T. Meyers, and J. E. Odhner, “Infrared spectroradiometer design based on an acousto-optic tunable filter,” Proc. SPIE 2480, 334–345 (1995).
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Oerke, E.

J. Behmann, A. Mahlein, S. Paulus, J. Dupuius, H. kuhlmann, E. Oerke, and L. Plumer, “Generation and application of hyperspectral 3D plant models: methods and challenges,” Mach. Vis. Appl. 27(5), 611–624 (2016).
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Ozga, I.

L. Granero-Montagud, C. Portalés, B. Pastor-Carbonell, E. Ribes-Gómez, A. Gutiérrez-Lucas, V. Tornari, V. Papadakis, R. M. Groves, B. Sirmacek, A. Bonazza, I. Ozga, J. Vermeiren, K. Zanden, M. Föster, P. Aswendt, A. Borreman, J. D. Ward, A. Cardoso, L. Aguiar, F. Alves, P. Ropret, J. M. Luzón-Nogué, and C. Dietz, “SYDDARTA: new methodology for digitization of deterioration estimation in paintings,” Proc. SPIE 8790, 879011 (2013).
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Papadakis, V.

L. Granero-Montagud, C. Portalés, B. Pastor-Carbonell, E. Ribes-Gómez, A. Gutiérrez-Lucas, V. Tornari, V. Papadakis, R. M. Groves, B. Sirmacek, A. Bonazza, I. Ozga, J. Vermeiren, K. Zanden, M. Föster, P. Aswendt, A. Borreman, J. D. Ward, A. Cardoso, L. Aguiar, F. Alves, P. Ropret, J. M. Luzón-Nogué, and C. Dietz, “SYDDARTA: new methodology for digitization of deterioration estimation in paintings,” Proc. SPIE 8790, 879011 (2013).
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Park, H.

T. Tanaka, H. Park, and S. Hattori, “Measurement of forest canopy structure by a laser plane range-finding method: improvement of radiative resolution and examples of its application,” Agric. For. Meteorol. 125(1-2), 129–142 (2004).
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Pastor-Carbonell, B.

L. Granero-Montagud, C. Portalés, B. Pastor-Carbonell, E. Ribes-Gómez, A. Gutiérrez-Lucas, V. Tornari, V. Papadakis, R. M. Groves, B. Sirmacek, A. Bonazza, I. Ozga, J. Vermeiren, K. Zanden, M. Föster, P. Aswendt, A. Borreman, J. D. Ward, A. Cardoso, L. Aguiar, F. Alves, P. Ropret, J. M. Luzón-Nogué, and C. Dietz, “SYDDARTA: new methodology for digitization of deterioration estimation in paintings,” Proc. SPIE 8790, 879011 (2013).
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Paulus, S.

J. Behmann, A. Mahlein, S. Paulus, J. Dupuius, H. kuhlmann, E. Oerke, and L. Plumer, “Generation and application of hyperspectral 3D plant models: methods and challenges,” Mach. Vis. Appl. 27(5), 611–624 (2016).
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N. Brusco, S. Capeleto, M. Fedel, A. Paviotti, L. Poletto, G. M. Cortelazzo, and G. Tondello, “A system for 3D modeling frescoed historical buildings with multispectral texture information,” Mach. Vis. Appl. 17(6), 373–393 (2006).
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Pinty, B.

J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
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J. Vila, J. Calpea, F. Pla, L. Gómez, J. Connell, J. Marchant, J. Calleja, M. Mulqueen, J. Muñz, and A. Klaren, “SmartSpectra: applying multispectral imaging to industrial environments,” Real-Time Imaging 11(2), 85–98 (2005).
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Plourde, L. C.

J. E. Anderson, L. C. Plourde, M. E. Martin, B. H. Braswell, M. Smith, R. O. Dubayah, M. A. Hofton, and J. B. Blair, “Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest,” Remote Sens. Environ. 112(4), 1856–1870 (2008).
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Plumer, L.

J. Behmann, A. Mahlein, S. Paulus, J. Dupuius, H. kuhlmann, E. Oerke, and L. Plumer, “Generation and application of hyperspectral 3D plant models: methods and challenges,” Mach. Vis. Appl. 27(5), 611–624 (2016).
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Poletto, L.

N. Brusco, S. Capeleto, M. Fedel, A. Paviotti, L. Poletto, G. M. Cortelazzo, and G. Tondello, “A system for 3D modeling frescoed historical buildings with multispectral texture information,” Mach. Vis. Appl. 17(6), 373–393 (2006).
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Portalés, C.

L. Granero-Montagud, C. Portalés, B. Pastor-Carbonell, E. Ribes-Gómez, A. Gutiérrez-Lucas, V. Tornari, V. Papadakis, R. M. Groves, B. Sirmacek, A. Bonazza, I. Ozga, J. Vermeiren, K. Zanden, M. Föster, P. Aswendt, A. Borreman, J. D. Ward, A. Cardoso, L. Aguiar, F. Alves, P. Ropret, J. M. Luzón-Nogué, and C. Dietz, “SYDDARTA: new methodology for digitization of deterioration estimation in paintings,” Proc. SPIE 8790, 879011 (2013).
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Powers, M. A.

Prum, R. O.

M. H. Kim, T. A. Harvey, D. S. Kittle, H. Rushmeier, J. Dorsey, R. O. Prum, and B. J. Javidi, “3D imaging spectroscopy for measuring hyperspectral patterns on solid objects,” ACM Trans. Graph. 31(4), 13–15 (2012).
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S. L. Liang, X. Zhao, S. H. Liu, W. P. Yuan, X. Cheng, Z. Q. Xiao, X. T. Zhang, Q. Liu, J. Cheng, H. R. Tang, T. H. Qu, Y. C. Bo, Y. Qu, H. Z. Ren, K. Yu, and J. Townshend, “A long-term global land surface satellite (GLASS) data-set for environmental studies,” Int. J. Digit. Earth 6(sup1), 5–33 (2013).
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S. L. Liang, X. Zhao, S. H. Liu, W. P. Yuan, X. Cheng, Z. Q. Xiao, X. T. Zhang, Q. Liu, J. Cheng, H. R. Tang, T. H. Qu, Y. C. Bo, Y. Qu, H. Z. Ren, K. Yu, and J. Townshend, “A long-term global land surface satellite (GLASS) data-set for environmental studies,” Int. J. Digit. Earth 6(sup1), 5–33 (2013).
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Rautiainen, M.

J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
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S. L. Liang, X. Zhao, S. H. Liu, W. P. Yuan, X. Cheng, Z. Q. Xiao, X. T. Zhang, Q. Liu, J. Cheng, H. R. Tang, T. H. Qu, Y. C. Bo, Y. Qu, H. Z. Ren, K. Yu, and J. Townshend, “A long-term global land surface satellite (GLASS) data-set for environmental studies,” Int. J. Digit. Earth 6(sup1), 5–33 (2013).
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Ribes-Gómez, E.

L. Granero-Montagud, C. Portalés, B. Pastor-Carbonell, E. Ribes-Gómez, A. Gutiérrez-Lucas, V. Tornari, V. Papadakis, R. M. Groves, B. Sirmacek, A. Bonazza, I. Ozga, J. Vermeiren, K. Zanden, M. Föster, P. Aswendt, A. Borreman, J. D. Ward, A. Cardoso, L. Aguiar, F. Alves, P. Ropret, J. M. Luzón-Nogué, and C. Dietz, “SYDDARTA: new methodology for digitization of deterioration estimation in paintings,” Proc. SPIE 8790, 879011 (2013).
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V. Alchanatis, L. Ridel, A. Hetzroni, and L. Yaroslavsky, “Weed detection in multi-spectral images of cotton fields,” Comput. Electron. Agric. 47(3), 243–260 (2005).
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Ropret, P.

L. Granero-Montagud, C. Portalés, B. Pastor-Carbonell, E. Ribes-Gómez, A. Gutiérrez-Lucas, V. Tornari, V. Papadakis, R. M. Groves, B. Sirmacek, A. Bonazza, I. Ozga, J. Vermeiren, K. Zanden, M. Föster, P. Aswendt, A. Borreman, J. D. Ward, A. Cardoso, L. Aguiar, F. Alves, P. Ropret, J. M. Luzón-Nogué, and C. Dietz, “SYDDARTA: new methodology for digitization of deterioration estimation in paintings,” Proc. SPIE 8790, 879011 (2013).
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Rueda, H.

Rushmeier, H.

M. H. Kim, T. A. Harvey, D. S. Kittle, H. Rushmeier, J. Dorsey, R. O. Prum, and B. J. Javidi, “3D imaging spectroscopy for measuring hyperspectral patterns on solid objects,” ACM Trans. Graph. 31(4), 13–15 (2012).
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Saif, B.

Sánchez, A. J.

E. Ivorra, S. Verdu, A. J. Sánchez, R. Grau, and J. M. Barat, “Predicting gilthead sea bream (sparus aurata) freshness by a novel combined technique of 3D imaging and SW-NIR spectral analysis,” Sensors (Basel) 16(10), 1735 (2016).
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Schlerf, M.

J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
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Shang, H.

F. Zhao, Y. G. Li, X. Dai, W. Verhoef, Y. Q. Guo, H. Shang, X. F. Gu, Y. B. Huang, T. Yu, and J. X. Huang, “Simulated impact of sensor field of view and distance on field measurements of bidirectional reflectance factors for row crops,” Remote Sens. Environ. 156, 129–142 (2015).
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Shi, S. G.

H. J. Zhao, S. G. Shi, X. F. Gu, G. R. Jia, and L. B. Xu, “Integrated system for auto-registered hyperspectral and 3D structure measurement at the point scale,” Remote Sens. 9(6), 512 (2017).
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Shure, D. R.

L. H. Taylor, D. R. Shure, S. A. Wutzke, P. L. Ulerich, G. D. Baldwin, M. T. Meyers, and J. E. Odhner, “Infrared spectroradiometer design based on an acousto-optic tunable filter,” Proc. SPIE 2480, 334–345 (1995).
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Sirault, X.

J. Liang, A. Zia, J. Zhou, and X. Sirault, “3D plant modelling via hyperspectral imaging,” in Proceedings of IEEE International Conference on Computer Vision Workshops (IEEE, 2013), pp. 172–177.

Sirmacek, B.

L. Granero-Montagud, C. Portalés, B. Pastor-Carbonell, E. Ribes-Gómez, A. Gutiérrez-Lucas, V. Tornari, V. Papadakis, R. M. Groves, B. Sirmacek, A. Bonazza, I. Ozga, J. Vermeiren, K. Zanden, M. Föster, P. Aswendt, A. Borreman, J. D. Ward, A. Cardoso, L. Aguiar, F. Alves, P. Ropret, J. M. Luzón-Nogué, and C. Dietz, “SYDDARTA: new methodology for digitization of deterioration estimation in paintings,” Proc. SPIE 8790, 879011 (2013).
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Smith, M.

J. E. Anderson, L. C. Plourde, M. E. Martin, B. H. Braswell, M. Smith, R. O. Dubayah, M. A. Hofton, and J. B. Blair, “Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest,” Remote Sens. Environ. 112(4), 1856–1870 (2008).
[Crossref]

Somers, B.

J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
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Stuckens, J.

J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
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Su, B.

H. D. Liang, A. Lucian, R. Lange, C. S. Cheung, and B. Su, “Remote spectral imaging with simultaneous extraction of 3D topography for historical wall paintings,” ISPRS J. Photogramm. Remote Sens. 95(3), 13–22 (2014).
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Suhre, D. R.

Tanaka, T.

T. Tanaka, H. Park, and S. Hattori, “Measurement of forest canopy structure by a laser plane range-finding method: improvement of radiative resolution and examples of its application,” Agric. For. Meteorol. 125(1-2), 129–142 (2004).
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L. Granero-Montagud, C. Portalés, B. Pastor-Carbonell, E. Ribes-Gómez, A. Gutiérrez-Lucas, V. Tornari, V. Papadakis, R. M. Groves, B. Sirmacek, A. Bonazza, I. Ozga, J. Vermeiren, K. Zanden, M. Föster, P. Aswendt, A. Borreman, J. D. Ward, A. Cardoso, L. Aguiar, F. Alves, P. Ropret, J. M. Luzón-Nogué, and C. Dietz, “SYDDARTA: new methodology for digitization of deterioration estimation in paintings,” Proc. SPIE 8790, 879011 (2013).
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F. Zhao, Y. G. Li, X. Dai, W. Verhoef, Y. Q. Guo, H. Shang, X. F. Gu, Y. B. Huang, T. Yu, and J. X. Huang, “Simulated impact of sensor field of view and distance on field measurements of bidirectional reflectance factors for row crops,” Remote Sens. Environ. 156, 129–142 (2015).
[Crossref]

J. L. Widlowski, C. Mio, M. Disney, J. Adams, I. Andredakis, C. Atzberger, J. Brennan, L. Busetto, M. Chelle, G. Ceccherini, R. Colombo, J. F. Cote, A. Eenmae, R. Essery, J. P. Gastellu-Etchegorry, N. Gobron, E. Grau, V. Haverd, L. Homolova, H. G. Huang, L. Hunt, H. Kobayashi, B. Koetz, A. Kuusk, J. Kuusk, M. Lang, P. E. Lewis, J. L. Lovell, Z. Malenovsky, M. Meroni, F. Morsdorf, M. Mottus, W. Ni-Meister, B. Pinty, M. Rautiainen, M. Schlerf, B. Somers, J. Stuckens, M. M. Verstraete, W. Z. Yang, F. Zhao, and T. Zenone, “The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing,” Remote Sens. Environ. 169, 418–437 (2015).
[Crossref]

Res. Astron. Astrophys. (1)

Z. P. He, B. Y. Wang, G. Lü, C. L. Li, L. Y. Yuan, R. Xu, B. Liu, K. Chen, and J. Y. Wang, “Operating principles and detection characteristics of the visible and near-infrared imaging spectrometer in the Chang’e-3,” Res. Astron. Astrophys. 14(12), 1567–1577 (2014).
[Crossref]

Sensors (Basel) (1)

E. Ivorra, S. Verdu, A. J. Sánchez, R. Grau, and J. M. Barat, “Predicting gilthead sea bream (sparus aurata) freshness by a novel combined technique of 3D imaging and SW-NIR spectral analysis,” Sensors (Basel) 16(10), 1735 (2016).
[Crossref] [PubMed]

Other (2)

J. Liang, A. Zia, J. Zhou, and X. Sirault, “3D plant modelling via hyperspectral imaging,” in Proceedings of IEEE International Conference on Computer Vision Workshops (IEEE, 2013), pp. 172–177.

P. W. Zhou, H. J. Zhao, Y. Zhang, and C. C. Li, “Accurate optical design of an acousto-optic tunable filter imaging spectrometer,” in Proceedings of IEEE International Conference on Imaging System and Techniques (IEEE, 2012), pp. 249–253.
[Crossref]

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Figures (16)

Fig. 1
Fig. 1 Schematic diagram of non-collinear AOTF.
Fig. 2
Fig. 2 Wave vector diagram for the non-collinear AOTF.
Fig. 3
Fig. 3 Schematic diagram of light propagation for the non-collinear AOTF.
Fig. 4
Fig. 4 Simplified schematic diagram of laser triangulation system.
Fig. 5
Fig. 5 Schematic diagram of the 3D hyperspectral imaging system based on AOTF.
Fig. 6
Fig. 6 Optical structures of AOTF system: (a) Collimated optics; (b) Confocal optics. In this type of spectrometers, the Etendue is determined by the linear and angular apertures of AOTF. Commonly, in collimated optics, the aperture stop is usually on the surface of crystal and equal to linear aperture, and the angle of incidence should be equal to angular aperture to make maximum Etendue. In confocal optics, on the other hand, the image plane is located at AOTF exit surface and equal to linear aperture, the aperture stop is positioned at focal point of fore optics to ensure the incident angle equal to angular aperture by telecentric structure.
Fig. 7
Fig. 7 Partial enlarged drawing of grid distortion: (a) Undiffracted channel in confocal optics; (b) Diffracted channel in confocal optics; (c) Undiffracted channel in collimated optics; (d) Diffracted channel in collimated optics.
Fig. 8
Fig. 8 Imaging system design: (a) Prototype; (b) Layout. The instrument has compact structure and is convenient for field experiments. The external dimension is 335mm × 260mm × 130mm.
Fig. 9
Fig. 9 Spectral detection test. (a) The test scene; (b) The spectral image at 715nm obtained by prototype.
Fig. 10
Fig. 10 Spectral reflectivity of leaves on region of interest obtained by ASD and prototype. (a) The spectral curves; (b) Absolute error and relative error.
Fig. 11
Fig. 11 Plane fitting test: (a) The test scene; (b) Residuals of the plane fitting.
Fig. 12
Fig. 12 3D measurement test: (a) The standard stepped sample; (b) Point cloud; (c) Method.
Fig. 13
Fig. 13 Images of checkerboard target: (a) Undiffracted channel; (b) Diffracted channel.
Fig. 14
Fig. 14 Registration accuracy measurement: (a) Feature point extraction by SIFT; (b) Removal of mismatching points by RANSAC.
Fig. 15
Fig. 15 A potted plant is detected by 3D hyperspectral imaging system at noon. (a) The outdoor experiment scene; (b) The spectral image in the band of 563 nm; (c) The panchromatic image of target with laser scanning points.
Fig. 16
Fig. 16 The unified information includes panchromatic image, 3D structure and spectral reflectance.

Tables (1)

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Table 1 Characteristics of the imaging system

Equations (12)

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k i ± k a = k d ,
k i = 2π n i λ 0 , k d = 2π n d λ 0 , k a = 2π Λ ,
n i = n o ,
n d = [ cos 2 ( θ d )/ n o 2 + sin 2 ( θ d )/ n e 2 ] 1/2 .
z c [ u v 1 ]=[ f x 0 u 0 0 f y v 0 0 0 1 ][ x c y x z c ]A[ x c y x z c ],
x c f y ( u u 0 ) = y c f x ( v v 0 ) = z c f x f y ,
x c x 2 a 2 = y c y 2 b 2 = z c z 2 c 2 ,
x c f y ( u u 0 ) = y c f x ( v v 0 ) = z c f x f y =s, x c x 2 a 2 = y c y 2 b 2 = z c z 2 c 2 =t.
{ p 1 =( s f y ( u u 0 ),s f x ( v v 0 ),s f x f y ) p 2 =( x 2 +t a 2 , y 2 +t b 2 , z 2 +t c 2 ) .
x c = s f y ( u u 0 )+ x 2 +t a 2 2 , y c = s f x ( v v 0 )+ y 2 +t b 2 2 , z c = s f x f y + z 2 +t c 2 2 .
A error = R Prototye ( λ ) R ASD ( λ ), R error = R Prototye ( λ ) R ASD ( λ ) R ASD ( λ ) ×100%.
erro r RMS = i=1 k [ ( x u x d ) 2 + ( y u y d ) 2 ] k =0.63 pixels.

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