introduction to hyperspectral data

Fraction images produced by matched filtering left

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Unformatted text preview: rall brightness. Fraction images produced by Matched Filtering (left) and Derivative Matched Filtering (right) for a portion of the Cuprite AVIRIS scene. The target image spectrum represents the mineral alunite. Brighter tones indicate pixels with higher alunite fractions. The image produced by Derivative Matched Filtering shows less image noise, sharper boundaries, and better contrast between areas with differing alunite fractions. page 21 Introduction to Hyperspectral Imaging References General Kruse, F.A. (1999). Visible-Infrared Sensors and Case Studies. In Renz, Andrew N. (ed), Remote Sensing for the Earth Sciences: Manual of Remote Sensing (3rd ed.), Vol 3. New York: John Wiley & Sons, pp. 567-611. Landgrebe, David (1999). Information Extraction Principles and Methods for Multispectral and Hyperspectral Image Data. In Chen, C.H. (ed.), Information Processing for Remote Sensing. River Edge, NJ: World Scientific Publishing Company, pp. 3-38. Vane, Gregg, Duval, J.E., and Wellman, J.B. (1993). Imaging Spectroscopy of the Earth and Other Solar System Bodies. In Pieters, Carle M. and Englert, Peter A.J. (eds.), Remote Geochemical Analysis: Elementatl and Mineralogic Composition. Cambridge, UK: Cambridge University Press, pp. 121-143. Vane, Gregg, and Goetz, A.F.H. (1988). Terrestrial Imaging Spectroscopy. Remote Sensing of Environment, 24, pp. 1-29. Spectral Reflectance Signatures Ben-Dor, E., Irons, J.R., and Epema, G.F. (1999). Soil Reflectance. In Renz, Andrew N. (ed), Remote Sensing for the Earth Sciences: Manual of Remote Sensing (3rd ed.), Vol 3. New York: John Wiley & Sons, pp. 111-188. Clark, Roger N. (1999). Spectroscopy of Rocks and Minerals, and Principles of Spectroscopy. In Renz, Andrew N. (ed), Remote Sensing for the Earth Sciences: Manual of Remote Sensing (3rd ed.), Vol 3. New York: John Wiley & Sons, pp. 3-58. Ustin, S.L., Smith, M.O., Jacquemoud, S., Verstraete, M., and Govaerts, Y. (1999). Geobotany: Vegetation Mapping for Earth Sciences. In Renz, Andrew N. (ed), Remote Sensing for the Earth Sciences: Manual of Remote Sensing (3rd ed.), Vol 3. New York: John Wiley & Sons, pp. 189-248. Reflectance Conversion Farrand, William H., Singer, R.B., and Merenyi, E., 1994, Retrieval of Apparent Surface Reflectance from AVIRIS Data: A Comparison of Empirical Line, Radiative Transfer, and Spectral Mixture Methods. Remote Sensing of Environment, 47, 311-321. page 22 Introduction to Hyperspectral Imaging References Goetz, Alexander F.H., and Boardman, J.W. (1997). Atmospheric Corrections: On Deriving Surface Reflectance from Hyperspectral Imagers. In Descour, Michael R. and Shen, S.S. (eds.), Imaging Spectrometry III: Proceedings of SPIE, 3118, 14-22. van der Meer, Freek (1994). Calibration of Airborne Visible/Infrared Imaging Spectrometer Data (AVIRIS) to Reflectance and Mineral Mapping in Hydrothermal Alteration Zones: An Example from the “Cuprite Mining District”. Geocarto International, 3, 23-37. Hyperspectral Image Analysis Adams, John B., Smith, M.O., and Gillespie, A.R. (1993). Imaging Spectroscopy: Interpretation Based on Spectral Mixture Analysis. In Pieters, Carle M. and Englert, Peter A.J. (eds.), R emote Geochemical Analysis: Elementatl and Mineralogic Composition. Cambridge, UK: Cambridge University Press, pp. 145-166. Clark, R.N., Gallagher, A.J., and Swayze, G.A. (1990). Material absorption band depth mapping of imaging spectrometer data using a complete band shape least-squares fit with library reference spectra. Proceedings of the Second Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Workshop, JPL Publication 90-54, pp. 176-186. Cloutis, E.A., (1996). Hyperspectral Geological Remote Sensing: Evaluation of Analytical Techniques. International Journal of Remote Sensing, 17, 22152242. Farrand, William H., and Harsanyi, J.C. (1994). Mapping Distributed Geological and Botanical Targets through Constrained Energy Minimization. Proceedings of the Tenth Thematic Conference on Geological Remote Sensing, San Antonio, Texas, 9-12 May 1994, pp. I-419 - I-429. Green, Andrew A., Berman, M., Switzer, P., and Craig, M.D. (1988). A Transformation for Ordering Multispectral Data in Terms of Image Quality with Implications for Noise Removal. IEEE Transactions on Geoscience and Remote Sensing, 26, 65-74. Mustard, John F., and Sunshine, J.M. (1999). Spectral Analysis for Earth Science: Investigations Using Remote Sensing Data. In Renz, Andrew N. (ed), Remote Sensing for the Earth Sciences: Manual of Remote Sensing (3rd ed.), Vol 3. New York: John Wiley & Sons, pp. 251-306. page 23 Introduction to Hyperspectral Imaging Advanced Software for Geospatial Analysis MicroImages, Inc. publishes a complete line of professional software for advanced geospatial data visualization, analysis, and publishing. Contact us or visit our web site for detailed product information. 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