Extracting chlorophyll spectral characteristics by wavelet transformation

It was successful to de-noise the spectrum signal within visual wave band (350 ~ 550nm) by wavelet transformation and extract some characteristic wavepeaks such as chlorophyll's 380nm, 414nm, 437nm and the folic acid 366nm. In the range from 550nm to 2500nm, after de-noising, the biggest error...

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Bibliographic Details
Published in2010 World Automation Congress pp. 247 - 250
Main Authors Xiaoping Han, Chuanjin Cui, Yueming Zuo, Miao Yang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2010
Subjects
Nitrogen
Noise
Noise reduction
Reliability
Visualization
Wavelet analysis
Wavelet transforms
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Summary:It was successful to de-noise the spectrum signal within visual wave band (350 ~ 550nm) by wavelet transformation and extract some characteristic wavepeaks such as chlorophyll's 380nm, 414nm, 437nm and the folic acid 366nm. In the range from 550nm to 2500nm, after de-noising, the biggest error was smaller than 1.47%, while at the peaks of waves the biggest error was smaller than 0.11%. The results showed that the wavelet de-noising used in this work slightly or not affect the other non-noise band. The method is very effective in preprocessing spectral data. More consideration of the chlorophyll spectrum characters is helpful to provide a basis for developing chlorophyll meter which has a Strong anti-interference, high reliability and universality.
ISBN:9781424496730
142449673X
ISSN:2154-4824
2154-4832