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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| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/43605/1/A%20stable%20and%20accurate%20wavelet-based%20method%20for%20noise%20reduction%20from%20hyperspectral%20vegetation%20spectrum.pdf http://psasir.upm.edu.my/id/eprint/43605/ https://www.researchgate.net/publication/271661033_A_stable_and_accurate_wavelet-based_method_for_noise_reduction_from_hyperspectral_vegetation_spectrum |
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| Institution: | Universiti Putra Malaysia |
| Language: | English |
Internet
http://psasir.upm.edu.my/id/eprint/43605/1/A%20stable%20and%20accurate%20wavelet-based%20method%20for%20noise%20reduction%20from%20hyperspectral%20vegetation%20spectrum.pdfhttp://psasir.upm.edu.my/id/eprint/43605/
https://www.researchgate.net/publication/271661033_A_stable_and_accurate_wavelet-based_method_for_noise_reduction_from_hyperspectral_vegetation_spectrum