发光学报2017，Vol.38Issue(6)：799-806,8.DOI:10.3788/fgxb20173806.0799
基于高光谱成像提取苹果糖度与硬度最佳波长
Optimal Wavelengths Extraction of Apple Brix and Firmness Based on Hyperspectral Imaging
摘要
Abstract
Hyperspectral imaging technology was used to extract the optimal wavelength for apple brix and firmness test.Firstly, the hyperspectral images of apples were acquired from double-sided sampling.The reflection waveforms of the regions of interest (RIOs) with similar brightness were acquired and smoothed by the second derivation and standard normal variate (SD+SNV) method.The brix and firmness values of RIOs were also tested.Then, the characteristic wavelengths of two indicators were extracted by using the successive projections agorithm(SPA).According to the distribution of characteristics wavelengths, two times SPA was proposed.Combined the feature of waveforms and the results of two projections, the optimal wavelengths of different sampling facets were determined.Finally, the genetic algorithm for back propagation(GA-BP) was used to build the prediction model.The best results were obtained from the double-sided sampling wavelengths (543 nm and 674 nm).The correlation coefficient of brix (R) is 0.847 6 and the mean square error (MSE) is 3.32, and for the firmness, R is 0.793 8 and MSE is 9.6.The results show that the brix and firmness can be detected by the same wavelength information.关键词
高光谱成像/苹果/最佳波长/二次连续投影算法/遗传算法开发神经网络Key words
hyperspectral imaging/apple/optimal wavelength/two times SPA/GA-BP分类
农业科技引用本文复制引用
冯迪,纪建伟,张莉,刘思伽,田有文..基于高光谱成像提取苹果糖度与硬度最佳波长[J].发光学报,2017,38(6):799-806,8.基金项目
辽宁省大型仪器设备共享服务项目(LNDY201501003) （LNDY201501003）
沈阳市大型仪器设备共享服务专项项目(F15-166-4-00)资助 Supported by Liaoning Large Scale Instrument and Equipment Sharing Service Project(LNDY201501003) （F15-166-4-00）
Shenyang Large Scale Instrument and Equipment Sharing Service Project(F15-166-4-00) （F15-166-4-00）
