Development of a Low-Cost Hyperspectral Whiskbroom Imager Using an Optical Fiber Bundle, a Swing Mirror, and Compact Spectrometers

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 9, Issue 9, 2016, Pages 3909-3925

  Uto, Kuniaki ^a,b   Seki, Haruyuki ^a,b   Saito, Genya ^a,b   Kosugi, Yukio ^a,b   Komatsu, Teruhisa ^b,c  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

^b JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^c UNIVERSITY OF TOKYO   (Japan)

Author keywords

Hyperspectral imager; marine macrophyte beds; optical fiber bundle; spectrometer; unmanned aerial vehicle (UAV); whiskbroom scanning

Indexed keywords

AERIAL PHOTOGRAPHY; FIBERS; LENSES; MIRRORS; OPTICAL CABLES; OPTICAL FIBERS; PATTERN MATCHING; PIXELS; REMOTE SENSING; SPECTROMETERS; SPECTROSCOPY; UNMANNED AERIAL VEHICLES (UAV);

CROSS-TRACK SCANNING; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGERS; HYPERSPECTRAL REMOTE SENSING DATA; HYPERSPECTRAL SENSING; LIGHTWEIGHT UNMANNED AERIAL VEHICLES; OPTICAL FIBER BUNDLE; TWO-DIMENSIONAL ARRAYS;

COSTS;

AIRCRAFT; MACROPHYTE; MULTISPECTRAL IMAGE; PIXEL; REMOTE SENSING; SPECTROMETER; UNMANNED VEHICLE;

EID: 84981297997     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2592987     Document Type: Article

References (19)

1. S. Jacquemoud and F. Baret, "Prospect: A model of leaf optical properties spectra," Remote Sens. Environ., vol. 34, no. 2, pp. 75-91, 1990.
2. W. Verhoef, "Light scattering by leaf layers with application to canopy reflectance modeling: The sail model," Remote Sens. Environ., vol. 16, no. 2, pp. 125-141, 1984.
3. R. Mahony, V. Kumar, and P. Corke, "Multirotor aerial vehicles:Modeling, estimation, and control of quadrotor," IEEE Robot. Autom. Mag., vol. 19, no. 3, pp. 20-32, Sep. 2012.
4. H. Samant and A. Datta, "Domesticating the drone," Geospatial World, vol. 5, no. 5, pp. 34-40, 2014.
5. Norsk Elektro Optikk AS, HySpex Mjolnir-1024, 2015. [Online]. Available: http://www.hyspex.no/products/mjolnir.php
6. Cubert GmbH, "Real-time spectral imaging: Introducing the firefly," 2015.
7. IMEC, "IMEC hyperspectral snapshot imager," 2015. [Online]. Available: http://www2.imec.be/content/user/File/NEW/Research/Image%20 sensors%20and%20vision%20systems/Hyperspectral%20imaging/UPDATE%202%20imec%20snapshot%20imager.pdf
8. Rikola Ltd., "Snapshot hyperspectral camera is airborne," 2015. [Online]. Available: http://www.rikola.fi/Hyperspectral-camera.pdf
9. Headwall Photonics, "Nano-hyperspec, small, light airborne hyperspectral sensor," 2014. [Online]. Available: http://www.headwallphotonics.com/Portals/145999/docs/ds-nano-hyperspec -2014.pdf
10. N. Hagen, R. T. Kester, L. Gao, and T. S. Tkaczyk, "Snapshot advantage: A review of the light collection improvement for parallel high-dimensional measurement systems," Opt. Eng., vol. 51, no. 11, pp. 111 702-1-111 702-7, 2012.
11. K. Uto, H. Seki, G. Saito, Y. Kosugi, and T. Komatsu, "Development of a low-cost, lightweight hyperspectral imaging system based on a polygon mirror and compact spectrometers," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 9, no. 2, pp. 861-875, Feb. 2016. [Online]. Available: http://dx.doi.org/10.1109/JSTARS.2015.2472293
12. D. Tao, G. Jia, Y. Yuan, and H. Zhao, "A digital sensor simulator of the pushbroom offner hyperspectral imaging spectrometer," Sensors, vol. 14, no. 12, pp. 23 822-23 842, 2014.
13. K. Uto, H. Seki, G. Saito, and Y. Kosugi, "Characterization of rice paddies by a UAV-mounted miniature hyperspectral sensor system," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 2, pp. 851-860, Apr. 2013.
14. Hamamatsu Photonics, "Micro-spectrometer c12880ma," 2015. [Online]. Available: https://www.hamamatsu.com/resources/pdf/ssd/c12880ma-kacc1226e.pdf
15. Hamamatsu Photonics, "Micro-spectrometer c12666ma," 2014. [Online]. Available: http://www.hamamatsu.com/resources/pdf/ssd/c12666ma-kacc1216e.pdf
16. T. J. Diaz, "Lights, drone ⋯ action," IEEE Spectr., vol. 52, no. 7, pp. 36-41, Jul. 2015.
17. D. P. Roy, B. Devereux, B. Grainger, and S. J. White, "Parametric geometric correction of airborne thematic mapper imagery," Int. J. Remote Sens., vol. 18, no. 9, pp. 1865-1887, 1997.
18. R. Costanza et al.,"The value of the World's ecosystem services and natural capital," Nature, vol. 387, no. 6630, pp. 253-260, 1997.
19. J. Goodman, Z. Lee, and S. Ustin, "Influence of atmospheric and seasurface corrections on retrieval of bottom depth and reflectance using a semi-analytical model: A case study in Kaneohe Bay, Hawaii," Appl. Opt., vol. 47, pp. F1-F11, 2008.