Research on the Parameter Drift Problem of Near Infrared Spectra Based Corn Variety Discrimination Technology
ZHANG Li-ping1, 2, LI Wei-jun2*, WANG Ping1, AN Dong3
1. College of Information and Control Engineering, China University of Petroleum(Huadong), Qingdao 266580, China 2. Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China 3. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
Abstract：Aiming to differentiate 13 varieties of corn, present paper proposes an effective approach to solving the parameter drift problem of spectrum instruments. Remarkable drift has been found among the inter-day data when using the identical spectrum instrument to acquire sample data at different times, modeling with the intra-day data, and testing with the rest. The correct recognition rate is reduced to only 7.69% in the condition of severe drift. To tackle this problem, this paper proposes a supervised feature-based inter-day combination modeling approach, at first, the representative sample data acquired at multiple times will be selected to make up the modeling set, and then the PLS+LDA algorithm will be applied to extract the feature of varieties which is independent on instrument parameter drift, and finally BPR will be used to identify the varieties. The experiment results indicate that this approach is effective to rectify the data drift at different times, can bring higher recognition rate, and also shows its stability in practice.
Key words：Near-infrared spectra;Spectral drift;Partial least square;Corn;Variety discrimination
张丽萍1，2，李卫军2*，王 平1，安 冬3 . 玉米品种近红外光谱鉴别技术中的参数漂移问题研究[J]. 光谱学与光谱分析, 2012, 32(10): 2785-2788.
ZHANG Li-ping1, 2, LI Wei-jun2*, WANG Ping1, AN Dong3 . Research on the Parameter Drift Problem of Near Infrared Spectra Based Corn Variety Discrimination Technology . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(10): 2785-2788.
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