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Paul Geladi feb 06 Is Hyperspectral Imaging an Analytical Instrument?
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Paul Geladi feb 06 Paul Geladi Head of Research NIRCE Chairperson NIR Nord Unit of Biomass Technology and Chemistry Swedish University of Agricultural Sciences Umeå Technobothnia Vasa paul.geladi @ btk.slu.se paul.geladi @ uwasa.fi
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Paul Geladi feb 06
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Content Short introduction of the topic Space imaging Instrumentation Examples, history and philososphical thoughts
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Paul Geladi feb 06 Multivariate Image K << I ≈ J I J K I J K Hyperspectral Image K≈I≈J What is a hyperspectral image?
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Paul Geladi feb 06 256 320 128 512 614 224 MatrixNIR AVIRIS First defined in airborne imaging
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Paul Geladi feb 06 Na Mg AlSi
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Paul Geladi feb 06 CrFe Ni
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Paul Geladi feb 06 Cu Zn Van Espen P., Janssens G., Vanhoolst W. & Geladi P., Imaging and image processing in analytical chemistry, Analusis, 20, 81-90, 1992.
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Paul Geladi feb 06 Airborne hyperspectral imaging http://www.microimages.com/getstart/hyprspec.htm Randall Smith 2001
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Paul Geladi feb 06
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Some airborne systems SensorCountryNr bands Range m AVIRISUSA2240.4 - 2.5 AISAFI2860.45 - 0.9 CASICA2880.43 - 0.87 DAISUSA2110.4 - 12 HYMAPAU1280.4 - 2.45 PROBE1USA1280.4 - 2.45
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Paul Geladi feb 06 Orig Veg Water Soil
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Paul Geladi feb 06 Conclusions Airborne Not too much chemometrics Calibration / standardization / correction problems Comparison of airborne / ground spectra
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Paul Geladi feb 06 0 nm 3000 nm
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Paul Geladi feb 06 Lab versus airplane We have our own “sun” It is controllable Only within limits Problems still exist How to quantify / correct problems?
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Paul Geladi feb 06 Content Short introduction of the topic Space imaging Instrumentation Examples, history and philososphical thoughts
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Paul Geladi feb 06 AVIRIS
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Paul Geladi feb 06 Rotating filter wheel Alternative: illumination diode array
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Paul Geladi feb 06 PbS camera Fiber ring Radiation source Interference filters
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Paul Geladi feb 06 680 nm 740 nm800 nm 840 nm 1010 nm1110 nm1200 nm Geladi P, Sethson B, Nyström J, Lillhonga T, Lestander T & Burger J, Chemometrics in spectroscopy: Part 2. Examples, Spectrochimica Acta Part B: Atomic Spectroscopy, 59, 1347-1357, 2004.
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Paul Geladi feb 06 Prism-Grating -Prism Pushbroom
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Paul Geladi feb 06 Interferometer Fixed mirror Moving mirror Semitransparent mirror (50%) Detector (interferogram) a b Sample (scan by moving) Radiation source
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Paul Geladi feb 06 Most FT-IR FT-Raman
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Paul Geladi feb 06 InGaAs array LCTF Objective Sample(s) Lamp(s) ≈5 cm To file 12 bit A/D convertor
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Paul Geladi feb 06 InGaAs array LCTF Objective Sample(s) Lamp(s) ≈5 cm To file 12 bit A/D convertor 256x320 0.2x0.2 mm 2 pixel max 128 900-1700 nm
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Paul Geladi feb 06
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Content Short introduction of the topic Examples, history and philososphical thoughts Standardization Calibration Sampling problems Comparison
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Paul Geladi feb 06
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Edmund catalog
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Paul Geladi feb 06
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wavelength nm A/D counts Specular reflection 99% 2% 75% 50% Raw A/D convertor data
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Paul Geladi feb 06 wavelength nm Reflectance % NIST calibration Interpolation
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2% 25% 50% 75% 99%
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Paul Geladi feb 06
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R= 1, 0.8, 0.6, 0.4 R= 0.2, 0.1, 0.05, 0
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Paul Geladi feb 06 Content Short introduction of the topic Examples, history and philososphical thoughts Standardization Calibration Sampling problems Comparison
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Paul Geladi feb 06 Metal frame 2% refl. 50% refl. 75% refl. 99% refl. Cheddar Blue Edam Emmenthal
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Paul Geladi feb 06 Reference values (y) Pure standards Known mixtures Wet chemistry
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Paul Geladi feb 06 Reference values Impossible to measure wet chemistry in every pixel All standards are heterogeneous at high magnification Not always possible with synthetic standards Geladi P., Burger J. & Lestander T., Hyperspectral imaging: calibration problems and solutions, Chemometrics and Intelligent Laboratory Systems, 72, 209-217, 2004.
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Paul Geladi feb 06 Content Short introduction of the topic Space imaging Instrumentation Examples, history and philososphical thoughts Standardization Calibration Sampling problems Comparison
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Paul Geladi feb 06 One pixel 50/50 mixture Sampling problem
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Paul Geladi feb 06 One pixel 50/50 mixture
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Paul Geladi feb 06
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Content Short introduction of the topic Examples, history and philososphical thoughts Standardization Calibration Sampling problems Comparison Examples (removed, paper in review)
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Paul Geladi feb 06 Comparison with a spectrometer Integration over a volume / area Only 1 detector High resolution 2 16 Wide range possible Lower noise Information in pixels / depth? Many detectors Low resolution 2 12 Limited range Noisier
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Paul Geladi feb 06 Comparison Linearity better controlled No populations Quick Linear? Missing pixels Populations! Slow
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Paul Geladi feb 06 Conclusions Airborne/space are ahead Many principles Instrument standardization needed No material is homogeneous at the nanolevel Camera ≠ spectrometer, but we get close
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Paul Geladi feb 06 Acknowledgements Torbjörn Lestander, SLU, Umeå Jim Burger, SLU, Umeå EASIM European Association for Spectral Imaging started in Umeå 14 February 2006
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Paul Geladi feb 06
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