Wavelet-based threshold denoising for imaging hyperspectral data

文献类型： 外文期刊

第一作者： Yang Hao

作者： Yang Hao;Zhang Dongyan;Huang Linsheng;Zhao Jinling;Yang Hao;Zhang Dongyan;Zhang Dongyan;Huang Linsheng;Zhao Jinling

作者机构：

关键词： wavelet;denoising;spectral domain;Pushbroom Imaging Spectrometer;red edge position

期刊名称：INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING （ 影响因子：2.032； 五年影响因子：2.137 ）

ISSN： 1934-6344

年卷期： 2014 年 7 卷 3 期

页码：

收录情况： SCI

摘要： Imaging spectroradiometer is highly susceptible to noise. Accurately quantitative processing with higher quality is obligatory before any derivative analysis, especially for precision agricultural application. Using the self-developed Pushbroom Imaging Spectrometer (PIS), a wavelet-based threshold (WT) denoising method was proposed for the PIS imaging hyperspectral data. The WT with PIS was evaluated by comparing with other popular denoising methods in pixel scale and in regional scale. Furthermore, WT was validated by chlorophyll concentration retrieval based on red-edge position extraction. The result indicated that the determination coefficient R-2 of the chlorophyll concentration inversion model of winter wheat leaves was improved from 0.586 to 0.811. It showed that the developed denoising method allowed effective denoising while maintaining image quality, and presented significant advantages over conventional methods.

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