农业机械学报2012，Vol.43Issue(2)：175-180,6.DOI:10.6041/j.issn.1000-1298.2012.02.034
PLS算法在高光谱估测加工番茄白粉病色素含量中的应用
PLS Algorithm Application in Hyperspectral Estimation of Pigment Contents in Processing Tomato Leaves under Powdery Mildew
摘要
Abstract
Both traditional and new spectral characteristic parameters were used to estimate the pigment content of leaves by employing PLS algorithm. Therefore the pigment content of leaves under powdery mildew in processing tomato could be estimated and tested. The result showed that the sensitive bands of original and opposing spectrum were 350 ~ 718 nm, 719 ~ 839 nm and 350 -718 nm, 728 ~ 857 nm, respectively. Then three groups named PGP, PGT and TTT were composed, including the optimal 9 spectral characteristic parameters from either traditional or new parameters ( PSNDa, GNDVI, PSSRa, PSSRb, GM, TPMPa, TPMPb, TPMPc and TPMPd). After estimating the pigment content, the best estimation model was TTT.关键词
加工番茄/白粉病/色素含量/高光谱/偏最小二乘法Key words
Processing tomato/ Powdery mildew/ Pigment content/ Hyperspectral/ Partial least squares method分类
化学化工引用本文复制引用
尹小君,李满春,赵思峰,王登伟..PLS算法在高光谱估测加工番茄白粉病色素含量中的应用[J].农业机械学报,2012,43(2):175-180,6.基金项目
国家自然科学基金资助项目(30800733)和“十一五”国家科技支撑计划资助项目(2007DAH121301) （30800733）
