The discrete wavelet transform as a precursor to leaf area index estimation and species classification using airborne hyperspectral data

The need for an efficient dimensionality reduction technique has remained a critical challenge for effective analysis of hyperspectral data for vegetation applications. Discrete wavelet transform (DWT), through multiresolution analysis, offers oppurtunities both to reduce dimension and convey inform...

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Bibliographic Details
Main Author: Banskota, Asim
Other Authors: Forestry
Format: Others
Published: Virginia Tech 2014
Subjects:
LAI
Online Access:http://hdl.handle.net/10919/39188
http://scholar.lib.vt.edu/theses/available/etd-08222011-112535/