Spectroscopy and Spectral Analysis, Volume. 32, Issue 4, 939(2012)
Study of Feature Extraction Methods for Maize’s Near Infrared Spectra in Biomimetic Pattern Recognition
Near infrared spectrum is an important step in near infrared spectrum qualitative analysis, which influences the qualitative analysis results directly. Diffuse transmittance measurements mode was used to collect spectral data of eight maize varieties. PCA, ICA, PLS-DA and wavelet transformation were used to extract features of pretreated data. Finally, we used the test set data to test the recognition models of eight maize varieties which were built based on biomimetic pattern recognition (BPR). We draw a conclusion that PLS-DA can make models get higher average correct recognition rate than PCA, ICA and Wavelet transformation.
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SHEN Li-feng, JIA Shi-qiang, GUO Ting-ting, WU Wen-jin, YAN Yan-lu, AN Dong. Study of Feature Extraction Methods for Maize’s Near Infrared Spectra in Biomimetic Pattern Recognition[J]. Spectroscopy and Spectral Analysis, 2012, 32(4): 939
Received: Aug. 21, 2011
Accepted: --
Published Online: Apr. 16, 2012
The Author Email: Li-feng SHEN (lfshen@cau.edu.cn)