Department of Printing and Packaging Engineering, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, China;
Department of Printing and Packaging Engineering, Shanghai Publishing and Printing College, Shanghai, China;
Department of Materials and Chemical Engineering, Henan Institute of Engineering, Zhengzhou, Henan, China;
College of Communication and Art Design, University of Shanghai for Science and Technology, Shanghai, China;
Spectral image separation; CYNSN; Adaptive; Reverse model;
机译:新型的自适应细胞Yule-Nielson光谱Neugebauer光谱图像分色模型
机译:用于光谱图像的新型自适应细胞Yule-Nielson光谱Neugebauer色分离模型
机译:用于光谱图像的新型自适应细胞Yule-Nielson光谱Neugebauer色分离模型
机译:基于蜂窝间铌谱Neugebauer模型的光谱图像彩色分离算法
机译:利用光谱混合和基于多重网格Gibbs的分区过程对高光谱图像进行光谱/空间建模。
机译:基于变量选择算法和化学计量学模型的奇异果内部质量高光谱成像预测
机译:基于稀疏Neugebauer模型的光谱反射率估计和颜色再现