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研究報告

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ハイパースペクトルイメージングカメラPIKAを使用した研究報告・記事掲載

ハイパースペクトル一般

The magazine "Photonics and Imaging Technology" published an article on hyperspectral imaging that Resonon wrote,https://www.techbriefs.com/component/content/article/tb/supplements/pit/applications/28512?m=876

C.I. Zhao, B. Qi, and C. Nansen, Use of local fuzzy variance to extract the scattered regions of spatial stray light influence in hyperspectral images, Optik, 124, 6696 (2013).

C. Nansen, Robustness of analyses of imaging data, Optics Express, 19, No. 16 (2011).

B. Qi, C. Zhao, E. Youn, and C. Nansen, Use of weighting algorithms to improve traditional support vector machine based classifications of reflectance data, Optics Express, 19, No. 27 (2011).

C. Nansen, N. Abidi, A.J. Sidumo, and A.H. Gharalari, Using Spatial Structure Analysis of Hyperspectral Imaging Data and Fourier Transformed Infrared Analysis to Determine Bioactivity of Surface Pesticide Treatment, Remote Sensing, 2, 908 (2010).

P.W. Nugent, J.A. Shaw, M.R. Kehoe, C.W. Smith, T.S. Moon, and R.C. Swanson, Measuring the modulation transfer function of an imaging spectrometer with rooflines of opportunity, Optical Engineering, 49, 103201 (2010).

R.C. Swanson, T.S. Moon, C.W. Smith, M.R. Kehoe, S.W. Brown, and K.R. Lykke, Anamorphic Imaging Spectrometer, Proc. SPIE, 6940, 694010 (2008).

P.W. Nugent, J.A. Shaw, M.R. Kehoe, C.W. Smith, T.S. Moon, and R.C. Swanson, Measuring the MTF of imaging spectrometers at infinite focus with roofline images, Proc. SPIE, 6661, 1 (2007).

リモートセンシング分野

R. Hruska, J. Mitchell, M. Anderson and N.F. Glenn, Radiometric and Geometric Analysis of Hyperspectral Imagery Acquired from an Unmanned Aerial Vehicle, Remote Sensing, 4, 2736 (2012).

M.C.L. Patterson and A. Brescia, Operation of small sensor payloads on tactical sized unmanned air vehicles, Aeronautical Journal, 114, 427 (2010).

R.C. Swanson, M.R. Kehoe, C.W. Smith, T.S. Moon, R. Bousquet, S.W. Brown, K.R. Lykke, P. Maciejewski, and K. Barnard, Compact Anamorphic Imaging Spectrometer, 2007 Meeting of the Military Sensing Symposia (MSS) Specialty Group On Camouflage, Concealment & Deception, 1, SENSIAC Military Sensing Information Analysis Center (2007).

CJ Keith, KS Repasky, RL Lawrence, SC Jay, JL Carlsten, Monitoring effects of a controlled subsurface carbon dioxide release on vegetation using a hyperspectral imager, International Journal of Greenhouse Gas Control, 3:5, 626-632, September 2009.

L.H. Spangler et al., A shallow subsurface controlled release facility in Bozeman, Montana, USA, for testing near surface CO2 detection techniques and transport models, Environmental Earth Sciences, 60, 227 (2010).

http://water.usgs.gov/nrp/proj.bib/Publications/2010/spangler_dobeck_etal_2010.pdf

S.C. Jay, R.L. Lawrence, K.S. Repasky, and L.J. Rew, Geoscience and Remote Sensing Symposium (IGARSS) 4374 (2010).

http://resonon.com/images/Applications/Precision%20Agriculture/Leafy%20Spurge%20Hyperspectral%20Imaging%20Paper.JPG

農業・食品分野

M.A. Lee, Y. Huang, V.K. Nandula, and K.N. Reddy, Differentiating glyphosate-resistant and glyphosate-sensitive Italian ryegrass using hyperspectral imagery, Proc. SPIE, 9108 (2014).

K.N. Reddy, Y. Huang, M.A., Lee, V.K. Nandula, R.S. Fletcher, S.J. Thomson and F. Zhao,Glyphosate-resistant and glyphosate-susceptible Palmer amaranth (Amaranthus palmeri S. Wats.): hyperspectral reflectance properties of plants and potential for calssification, Pest Management Sci., (2014).

C Nansen, G. Zhao, N. Dakin, C. Zhao, and S.R. Turner,Using hyperspectral imaging to determine germination of native Australian plant seeds, J. Photochem. & Photobio. B, 145 19 (2015).

C. Nansen, X. Zhang, N. Aryamanesh, and G. Yan, Use of variogram analysis to classify field peas with and without internal defects caused by weevil infestation, J. Food Eng., 123, 17 (2014).

P. Wilcox, T.M. Horton, E.Youn, M.K. Jeong, D. Tate, T. Herman, and C. Nansen, Evolutionary refinement approaches for band selection of hyperspectral images with applications to automatic monitoring of animal feed quality, Intell. Data Anal., 18, 25 (2014).

C. Nansen, A.J. Sidumo, X. Martini, K. Stefanova, and J.D. Roberts, Reflectance-based assessment of spider mite "bio-response" to maize leaves and plant potassium content in different irrigation regimes, Computers and Electronics in Agriculture, 97, 21 (2013).

C. Nansen, Use of Variogram Parameters in Analysis of Hyperspectral Imaging Data Acquired from Dual-Stressed Crop Leaves, Remote Sensing, 4, 180 (2012).

C. Nansen, S. Prager, B. Qi, X. Martini, M. Lewis, and K. Vaugn, Using Hyperspectral Imaging in ZC Research, Proc. 11th Annual SCRI Zebra Chip Reporting Session, p70 (2011).

C. Nansen, T. Herrman, and R. Swanson, Machine Vision Detection of Bonemeal in Animal Feed Samples, Applied Spectroscopy, 64, 637 (2010).

C. Nansen, A.J. Sidumo, and S. Capareda, Vairogram analysis of hyperspectral data to characterize the impact of biotic and abiotic stress of maize plans and to estimate biofuel potential, Applied Spectroscopy, 64, No. 6 (2010).

S. Jay, R. Lawrence, K. Repasky, and C. Keith, Monitoring leafy spurge using a low cost hyperspectral spectrometer, Proc. Am. Soc. of Photogrammetry and Remote Sensing Annual Meeting, Baltimore MD (2009).

S. Jay, R. Lawrence, K. Repasky, and C. Keith, Invasive species mapping using low cost hyperspectral imagery, ASPRS Annual Conference, Baltimore MD (2009). C. Nansen, T. Macedo, R. Swanson, and D.K. Weaver, Use of spatial structure analysis of hyperspectral data cubes for detection of insect-induced stress in wheat plants, Int. J. of Remote Sensing, 30, 2447 (2009).

C. Nansen, M. Kolomeits, and X. Gao, Considerations regarding the use of hyperspectral imaging data in classifications of food products, exemplified by analysis of maize kernels, J. Agric. Food Chem., 14, 2933 (2008).

C. Nansen, G. Zhao, N. Dakin, C Zhao, and S.R. Turner, J. Photochem. and Photobio. B 145 19 (2015).


http://www.sciencedirect.com/science/article/pii/S1011134415000524
http://www.klv.co.jp/hyperspectral/bibliography/

バイオ分野

K. Barott, J. Smith, E. Dinsdale, M. Hatay, S. Sandin, and F. Rohwer, Hyperspectral and Physiological Analyses of Coral Algal Interactions, PloS ONE, 4, e8043 (2009).

L. Polerecky, A. Bissett, M. Al-Najjar, P. Faerber, H. Osmers, P.A. Suci, P. Stoodley, and D. de Beer, Modular spectral imaging system for discrimination of pigments in cells and microbial communities, Applied and Environmental Microbiology 75, 758 (2009).

M. Kuhl and L. Polerecky, Functional and structural imaging of phototrophic microbial communities and symbioses, Aquatic Microbial Ecology, 53, 99 (2008).

A. Bachar, L. Polerecky, J.P. Fischer, K. Vamvakopoulos, D. de Beer, and H.M. Jonkers, Two-dimensional mapping of photopigment distribution and activity of Chloroflexus-like bacteria in a hypersaline microbial mat, FEMS Microbial Ecology, 65, 434 (2008).

D. Allen, Hyperspectral Imaging: Shedding New Light on Wound Healing, NIST Physical Measurement Laboratory Sensor Science Division website, http://www.nist.gov/pml/div685/hyperspectral.cfm (2012). 

http://www.nist.gov/pml/div685/hyperspectral.cfm
http://www.klv.co.jp/hyperspectral/bibliography/

環境モニタリング

CJ Keith, KS Repasky, RL Lawrence, SC Jay, JL Carlsten, Monitoring effects of a controlled subsurface carbon dioxide release on vegetation using a hyperspectral imager, Int. J. Greenhouse Gas Control, 3, 626, (2009).

L.H. Spangler et al., A shallow subsurface controlled release facility in Bozeman, Montana, USA, for testing near surface CO2 detection techniques and transport models, Environmental Earth Sciences, 60, 227 (2010).