说明：  文章拟采用机油和油菜的高光谱图像数据为具体对象，分别从光谱特性分析和图像特性分析两个角度，采用流形学习方法探索一种从非线性高光谱图像数据中提取低维本质信息的方法，结合支持向量机、线性判别分析等模式识别方法建立机油品种和油菜品种的识别模型
(Article intends to adopt oil and rapeseed hyperspectral image data for a specific object, respectively, from the spectral characteristics analysis and image characteristics of two angles, manifold learning methods used to explore a hyperspectral image data from a non-linear low-dimensional nature of extracting information methods, combined with support vector machines, linear discriminant analysis, pattern recognition method to establish oil rapeseed varieties and species identification model)