Abstract
Methods for analysing remote sensing data are conditioned by sensor technology as much as by the particular application. However, in the past twenty years a number of techniques have proved to be widely applicable and have become standard tools available in public domain or commercially offered software packages. Many of these tools are no longer applicable to data acquired with imaging spectrometers either because of the high dimensionality of the data which increases processing time beyond practical bounds (e. g. maximum likelihood classifiers), or because of the high statistical variability of data which again is directly linked to the data space dimension (e. g. clustering algorithms), or simply because implementations have arbitrary limits for the processable number of bands. New techniques have evolved which exploit the continuity of spectral information available with imaging spectrometers (e. g. correlation and fitting algorithms) or the detail observed in the short wave infrared region. Also techniques which have not been generally accepted in the past have been reconsidered within the context of image spectrometry (e. g. spectral unmixing).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
6. References
Colwell, R.N., D.S. Simonett and F.W. Ulaby (eds.) (1983a), ‘Manual of Remote Sensing’, Volume 1: Theory, Instruments and Techniques, American Society of Photogrammetry, Falls Church.
Colwell, R.N., DIE. Estes, and G.A. Thorley (eds.) (1983b), ‘Manual of Remote Sensing’, Volume 2: Interpretation and Applications, American Society of Photogrammetry, Falls Church.
Conel, J.E., R.O. Green, R.E. Alley, C.J. Bruegge, V. Carrere, J.S. Margoslis, G. Vane, T.G. Chrien, P.N. Slater, S.F. Biggar, P.M. Teillet, R.D. Jackson and M.S. Moran (1988) ‘In-flight radiometric calibration of the Airborne Visible/Infrared Imaging Spectrometr (AVIRIS)’, in P.N. Slater (ed.) Recent advantages in sensors, radiometry, and data processing for remote sensing, Proc. SPIE, vol. 924, 179–195.
Crist, E.P., and R.C. Cicone (1984), ‘A physically-based transformation of Thematic Mapper data-the TM tasseled cap’, IEEE Trans. Geoscience & Remote Sensing, vol. GE-22,no. 3, 256–263.
Gao, B.-C, and A.F.H. Goetz (1990), ‘Column atmospheric water vapor and vegetation liquid water retrievals from airborne imaging spectrometer data’, J. Geophys. Res., 95, 3549–3564.
Gao, B.-C, K. Heidebrecht, and A.F.H. Goetz (1993), ‘Derivation of scaled surface reflectances from AVIRIS data’, Remote Sensing of Environment, vol. 44,nos. 2/3, 165–178.
Gerig, G., and K. Seidel (1985), ‘Structural description of a LANDSAT TM scene for improved region-based classification’, Proceedings of IGARSS’ 84 Symposium, Straßburg, Aug 27–30, ESA Publication SP-215, 101–105.
Green, R.O., J.E. Conel, C.J. Bruegge, J.S. Margolis, V. Carrere, G. Vane, G. Hoover (1992), ‘In-flight calibration of the spectral and radiometric characteristics of AVIRIS’, in R.O. Green (ed.) Summaries of the Third Annual JPL Airborne Geoscience Workshop June 1–5, 1992, JPL Publication 92-14, vol. 1, 1–4.
Kanellopoulos, I., A. Varfis, G.G. Wilkinson, and J. Mégier (1992), ‘Land-cover discrimination in SPOT HRV imagery using an artificial neural network-a 20-class experiment’, Int. J. Remote Sensing, vol. 13,no. 5, 917–924.
Hill, J. (1990), ‘Radiometric comparison and calibration of remotely sensed data from polar-orbiting earth observation satellites’, Proc. 5th Australasian Remote Sensing Conference, Perth, Oct 8–12, 1990, vol. 1, 42–53.
Hill, J., W. Mehl, and J. Mégier (1993), ‘Analysis of GER imaging spectrometry data for the identification of soil and vegetation parameters in land degradation studies’, Proceedings of the final EISAC Workshop, Ispra 1991, ESA Publication SP-360, 27–33.
Nagao, M, and T. Matsuyama (1979), ‘A structural analysis of complex aerial photographs’, Plenum Press, New York.
Nilsson N.J. (1965), ‘Learning Machines’, McGraw-Hill, New York.
Press, W.H., B.P. Flannery, S.A. Teukolsky, and W.T. Vetterling (1986), ‘Numerical Recipes: The Art of Scientific Computing (FORTRAN and PASCAL Edition)’, Cambridge University Press, Cambridge, New York, Melbourne.
Press, W.H., B.P. Flannery, S.A. Teukolsky, and W.T. Vetterling (1988), ‘Numerical Recipes in C: The Art of Scientific Computing’, Cambridge University Press, Cambridge, New York, Melbourne.
Tom, V.T. (1986), ‘A synergistic approach for multispectral image restoration using reference imagery’, Proc. of the IGARSS’ 86 Symposium, Zurich, Sep 8–11, ESA Publication SP-254, 559–564.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1994 ECSC, EEC, EAEC, Brussels and Luxembourg
About this chapter
Cite this chapter
Mehl, W. (1994). Data Analysis - Processing Requirements and Available Software Tools. In: Hill, J., Mégier, J. (eds) Imaging Spectrometry — a Tool for Environmental Observations. Eurocourses: Remote Sensing, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-0-585-33173-7_6
Download citation
DOI: https://doi.org/10.1007/978-0-585-33173-7_6
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-7923-2965-7
Online ISBN: 978-0-585-33173-7
eBook Packages: Springer Book Archive