A stable and accurate wavelet-based method for noise reduction from hyperspectral vegetation spectrum

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A stable and accurate wavelet-based method for noise reduction from hyperspectral vegetation spectrum

Hyperspectral vegetation spectrum is normally contaminated with noise and the presence of noise affects the results of vegetation studies, such as species discrimination and classification, disease detection, stress assessment and the estimation of vegetation’s biophysical and biochemical characteri...

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Bibliographic Details
Main Authors:	Mohd Shafri, Helmi Zulhaidi, Ebadi, Ladan
Format:	Article
Language:	English
Published:	Springer Berlin Heidelberg 2015
Online Access:	http://psasir.upm.edu.my/id/eprint/43605/ http://psasir.upm.edu.my/id/eprint/43605/1/A%20stable%20and%20accurate%20wavelet-based%20method%20for%20noise%20reduction%20from%20hyperspectral%20vegetation%20spectrum.pdf

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