Hyperspectral imaging with different illumination patterns for the hollowness classification of white radish

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• 作者：Leiqing Pan ; ^{pan_leiqing@njau.edu.cn} ; ^{panleiqing@hotmail.com} ; Ye Sun ; Hui Xiao ; Xinzhe Gu ; Pengcheng Hu ; Yingying Wei ; Kang Tu ; ^{kangtu@njau.edu.cn}
• 关键词：White radish ; Hollowness ; Hyperspectral imaging ; SPA ; Classification
• 刊名：Postharvest Biology and Technology
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：126
• 期：Complete
• 页码：40-49
• 全文大小：1354 K
• 卷排序：126

文摘

Hollowness in white radishes was detected by hyperspectral imaging. Three illumination patterns were used and compared. Important wavelengths were determined by the successive projections algorithm. PLS-DA and back propagation neural networks were used for classifying hollowness. Satisfactory classification accuracy was acquired using semi-transmittance mode.