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WAVELENGTH SELECTION OF HYPERSPECTRAL LIDAR BASED ON FEATURE WEIGHTING FOR ESTIMATION OF LEAF NITROGEN CONTENT IN RICE
Hyperspectral LiDAR Feather Weighting Leaf Nitrogen Content Wavelength Selection Partial Least Squares Support Vector Machine
2016/7/4
Hyperspectral LiDAR (HSL) is a novel tool in the field of active remote sensing, which has been widely used in many domains because of its advantageous ability of spectrum-gained. Especially in the pr...
基于模拟退火波长优化的草莓坚实度近红外光谱检测(Detection of Strawberry Firmness by NIR Wavelength Selection Based on Simulated Annealing Algorithm)
草莓 坚实度 近红外光谱 模拟退火算法
2010/12/29
为提高近红外光谱技术检测草莓坚实度模型的精度和鲁棒性,研究了一种基于模拟退火算法的波长优选方法,并找到一种与该算法配套的光谱预处理方法。利用光谱仪和物性仪分别采集草莓样品近红外漫反射光谱和坚实度数据,并采用标准正交变换、多元散射校正、一阶导数、二阶导数等方法对原始光谱进行预处理;最后,利用模拟退火算法优选与草莓坚实度高度相关的波数点变量,结合偏最小二乘法建立草莓坚实度预测模型。结果表明:经过标准正...
近红外玉米品种鉴别系统预处理和波长选择方法(Effects of Spectral Pretreatment and Wavelength Selection on Discrimination of Maize Seed Varieties by NIR Spectroscopy)
近红外光谱 玉米 品种鉴别
2009/11/3
以7个品种玉米籽粒的鉴别系统为研究对象,对比研究了6种预处理方法和波长选择对模型鉴别能力的影响。结果表明,在被比较的6种预处理方法中,一阶导数方法能够使模型有更好的鉴别性能。使用一阶导数预处理和全光谱区的模型平均正确识别率和正确拒识率最高,分别为98.6%和98%,有5个品种的模型的正确识别率和正确拒识率都达到了100%。波长选择对一阶导数模型没有明显作用,但能使标准正态变量变换和矢量归一化模型鉴...