By a News Reporter-Staff News Editor at Life Science Weekly -- Data detailed on Biological Factors have been presented. According to news reporting from Hefei, People's Republic of China, by NewsRx journalists, research stated, "Imaging spectroradiometer is highly susceptible to noise. Accurately quantitative processing with higher quality is obligatory before any derivative analysis, especially for precision agricultural application."
The news correspondents obtained a quote from the research from Anhui University, "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."
According to the news reporters, the research concluded: "It showed that the developed denoising method allowed effective denoising while maintaining image quality, and presented significant advantages over conventional methods."
For more information on this research see: Wavelet-based threshold denoising for imaging hyperspectral data. International Journal of Agricultural and Biological Engineering, 2014;7(3):36-42. International Journal of Agricultural and Biological Engineering can be contacted at: Chinese Acad Agricultural Engineering, Rm 506, 41, Maizidian St, Chaoyang District, Beijing, 100125, Peoples R China (see also Biological Factors).
Our news journalists report that additional information may be obtained by contacting H. Yang, Anhui University, Coll Elect & Informat Engn, Hefei 230601, People's Republic of China. Additional authors for this research include D.Y. Zhang, L.S. Huang and J.L. Zhao.
Keywords for this news article include: Asia, Hefei, Chlorophyllides, Metalloporphyrins, Biological Factors, People's Republic of China
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