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ASSESSING THE PERFORMANCE OF RELATIVE RADIOMETRIC NORMALIZATION METHODS FOR SOME VEGETATION INDICES

Iosif Vorovencii

First published: 2014-06-20https://doi.org/10.5593/sgem2014/b23/s10.004View metrics

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Title
ASSESSING THE PERFORMANCE OF RELATIVE RADIOMETRIC NORMALIZATION METHODS FOR SOME VEGETATION INDICES
Authors
Iosif Vorovencii
Proceedings
14th International Multidisciplinary Scientific GeoConference SGEM 2014, Geoinformatics, Remote Sensing, and Artificial Intelligence, Vol. 14, Book 2, Volume 3
Publisher
Stef92 Technology
Year
2014
Pages
Not available yet
ISSN
1314-2704
ISBN
Not available yet
Language
en
Publication type
Conference Paper
Proceedings volume
14th International Multidisciplinary Scientific GeoConference SGEM 2014, Geoinformatics, Remote Sensing, and Artificial Intelligence, Vol. 14, Book 2, Volume 3 · Issue Book 2, Volume 3
References12
  1. Bao N., Lechner A.M., Fletcher A., Mellor A., Mulligan D. & Bai Z. Comparison of relative radiometric normalization methods using pseudo-invariant features for change detection studies in rural and urban landscapes, Journal of Applied Remote Sensing, United States, vol. 6/issue 1, DOI: 10.1117/1.JRS.6.063578, 2012.

  2. Crist E.P. & Kauth R.T. The Tasseled Cap demystified, Photogrammetric Engineering and Remote Sensing, United States, vol. 52/issue 1, pp 81-86, 1986.

  3. Elvidge C.D., Yuan D., Werackoon R.D. & Lunetta R.S. Relative radiometric normalization of Landsat Multispectral Scanner (MSS) data using an automated scattergram controlled regression, Photogrammetric Engineering and Remote Sensing, United States, vol. 61/issue 10, pp 1255-1260, 1995.

  4. Huete A.R. A soil-adjusted vegetation index (SAVI), Remote Sensing of Environment, United States, vol. 25, pp 53-70, 1988.

  5. Jensen J.R. Urban and suburban land use analysis. Manual of Remote Sensing, Second Edition, Vol. II, Interpretation and Applications (John R. Estes, editor), ASPRS, Falls Church, Virginia, United States, pp 1618-1620, 1983.

  6. Jordan C.F. Derivation of leaf area index from quality of light on the forest floor, Ecology, United States, vol. 50/issue 4, pp. 663-666, 1968.

  7. Lillesand T.M. & Kiefer R.W. Remote sensing and image interpretation. 4 th Edition, New York, United States, pp 30-190, 2000.

  8. Richardson A.J. & Wiegand C.L. Distinguishing vegetation from soil background information, Photogrammetric Engineering and Remote Sensing, United States, vol. 43/issue 12, pp 1541-1552, 1977.

  9. Rouse J.W.Jr., Haas R.H., Deering D.W., Schell J.A. & Harlan J.C. Monitoring the vernal advancement and retrogradation (Green Wave Effect) of natural vegetation, NASA/GSFC Type III Final Report, Greenbelt, MD., United States , 371p., 1974.

  10. Salvaggio C. Radiometric scene normalization utilizing statistically invariant features. In: Proceedings of Workshop Atmospheric Correction of Landsat Imagery, Defense Landsat Program Office, Torrance, California, United States , p. 155-159, 1993.

  11. Schott J.R., Salvaggio C. & Volchok W.J. Radiometric scene normalization using pseudoinvariant features, Remote Sensing of Environment, United States, vol. 26/issue 1, pp l-16, 1988.

  12. Vorovencii I. & Muntean M.D. Relative radiometric normalization methods: overview and an application to Landsat images. RevCad Journal of Geodesy and Cadastre, Romania, in press, 2014.

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