Continuous wavelet transformations for hyperspectral feature detection

Ferwerda, J and Jones, S 2006, 'Continuous wavelet transformations for hyperspectral feature detection' in A. Riedl, W. Kainz, G. A. Elmes (ed.) Progress in Spatial Data Handling, Springer-Verlag Berlin Heidelberg, Berlin, Germany, pp. 167-178.

Document type: Book Chapter
Collection: Book Chapters

Title Continuous wavelet transformations for hyperspectral feature detection
Author(s) Ferwerda, J
Jones, S
Year 2006
Title of book Progress in Spatial Data Handling
Publisher Springer-Verlag Berlin Heidelberg
Place of publication Berlin, Germany
Editor(s) A. Riedl, W. Kainz, G. A. Elmes
Start page 167
End page 178
Subjects Photogrammetry and Remote Sensing
Summary A novel method for the analysis of spectra and detection of absorption features in hyperspectral signatures is proposed, based on the ability of wavelet transformations to enhance absorption features. Field spectra of wheat grown on different levels of available nitrogen were collected, and compared to the foliar nitrogen content. The spectra were assessed both as absolute reflectances and recalculated into derivative spectra, and their respective wavelet transformed signals. Wavelet transformed signals, transformed using the Daubechies 5 motherwavelet at scaling level 32, performed consistently better than reflectance or derivative spectra when tested in a bootstrapped phased regression against nitrogen.
Copyright notice © 2006 Springer-Verlag Berlin Heidelberg
Keyword(s) remote sensing
image processing
DOI - identifier 10.1007/3-540-35589-8_11
ISBN 354035588x
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