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机译:在图正则化光谱空间稀疏编码中用于高光谱图像分类的结构一致性研究
School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China;
School of Information and Communication Technology, Griffith University, Brisbane, QLD, Australia;
School of Engineering, Australian National University, Canberra, ACT, Australia;
College of Computer Science, Zhejiang University, Institute of Artificial Intelligence, Hangzhou, China;
School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China;
School of Engineering, Griffith University, Brisbane, QLD, Australia;
Feature extraction; Dictionaries; Encoding; Hyperspectral imaging; Image coding; Image reconstruction;
机译:基于关节稀疏模型的高光谱图像分类利用低维光谱空间特征
机译:基于联合稀疏表示的光谱空间高光谱图像整体分类
机译:基于堆叠稀疏自动编码器和随机森林的高光谱图像光谱空间分类
机译:基于联合双边滤波和堆叠稀疏自编码器的高光谱图像光谱空间分类
机译:主动学习技术在高光谱数据光谱空间分类中的研究进展
机译:近红外高光谱图像的深度光谱空间特征用于像素的食品分类
机译:图正则化光谱空间稀疏编码中用于高光谱图像分类的结构一致性研究