Wavelet-based denoising of spectral domain for hyperspectral Images

YANG Hao; ZHANG Dongyan; HUANG Linsheng; ZHAO Jinling

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Wavelet-based denoising of spectral domain for hyperspectral Images

YANG Hao 1,ZHANG Dongyan 1 *,HUANG Linsheng 2 #,ZHAO Jinling 1

1.Beijing Research Center for Information Technology in Agriculture, Beijing, 100097, China

2. College of electronic and information engineering, Anhui University, Hefei, 230601

*Correspondence author

#Submitted by

Subject:

Funding: Specialized Research Fund for the Doctoral Program of Higher Education （No.20133401120003）

Opened online: 5 May 2014

Accepted by: none

Citation: YANG Hao,ZHANG Dongyan,HUANG Linsheng.Wavelet-based denoising of spectral domain for hyperspectral Images[OL]. [ 5 May 2014] http://en.paper.edu.cn/en_releasepaper/content/4595159

Imaging spectroradiometers are highly susceptible to noise. Accurately quantitative processing with more high quality is obligatory before any derivative analysis, especially for precise agriculture application. Aiming at the Pushbroom Imaging Spectrometer (PIS) developed by us, a wavelet-based threshold denoising method was developed for its hyperspectral imagery data. And its capacity was evaluated through comparing with other popular denoising methods in pixel scale and in region scale. Furthermore, the method was validated in chlorophyll concentration retrieval application based on its red-edge extraction. The result revealed that the determination coefficient R2 of chlorophyll concentration retrieval model was improved from 0.586 to 0.811. It showed that the proposed denoising method allowed efficient denoising while maintaining image quality, and presented significant advantages over conventional denoising methods.

Keywords:hyperspectral image; PIS, spectral domain; wavelet; denoising

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