Spectroscopy and Spectral Analysis, Volume. 32, Issue 12, 3377(2012)

Analysis of Chlorophyll in Gannan Navel Orange with Algorithm of GA and SPA Based on Hyperspectral

LIU Yan-de*, ZHANG Guang-wei, and CAI Li-jun
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    The hyperspectral effective information of Gannan navel orange was extracted by genetic algorithm (GA) and successive projections algorithm (SPA) for partial least squares (PLS) model. Average spectral was extracted from region of interest(ROI) of hyperspectral images after preprocessing.GA and SPA were used to select 27 and 8 characteristic wavelengths for chlorophyll model with PLS. The correlation coefficients and rms error of GA-PLS were 0.80 and 2.45, and the correlation coefficients and rms error of SPA-PLS were 0.83 and 2.30, respectively.Overall results sufficiently demonstrate that SPA-PLS model has a greater advantage which can be combined with hyperspectral technique to be a nondestructive and rapid analytical method.

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    LIU Yan-de, ZHANG Guang-wei, CAI Li-jun. Analysis of Chlorophyll in Gannan Navel Orange with Algorithm of GA and SPA Based on Hyperspectral[J]. Spectroscopy and Spectral Analysis, 2012, 32(12): 3377

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    Paper Information

    Received: May. 26, 2012

    Accepted: --

    Published Online: Jan. 14, 2013

    The Author Email: Yan-de LIU (jxliuyd@163.com)

    DOI:10.3964/j.issn.1000-0593(2012)12-3377-04

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