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1 Using Multiscale Spectra in Regularizing Covariance Matrices for Hyperspectral Image Classification

机译：1使用多尺度光谱正则化协方差矩阵进行高光谱图像分类

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Are C. Jensen; Marco Loog; Anne Schistad Solberg;
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年度 2010
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1. Integration of spectral and spatial information via local covariance matrices for segmentation and classification of hyperspectral images [J] . U?UR ERGüL, G?KHAN B?LG?N Turkish Journal of Electrical Engineering and Computer Sciences . 2016,第6期

机译：通过局部协方差矩阵对光谱和空间信息进行集成，以对高光谱图像进行分割和分类
2. Multiscale Dense Cross-Attention Mechanism with Covariance Pooling for Hyperspectral Image Scene Classification [J] . Runmin Liu, Xin Ning, Weiwei Cai, Mobile information systems . 2021,第a期

机译：多尺度密集的跨关注机制，具有高光谱图像场景分类的协方差池
3. Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification [J] . He Nanjun, Paoletti Mercedes E., Mario Haut Juan, IEEE Transactions on Geoscience and Remote Sensing . 2019,第2期

机译：多尺度协方差地图的特征提取用于高光谱图像分类
4. Multiscale local covariance based feature extraction for segmantation of hyperspectral images [C] . Uğur Ergül, Gökhan Bilgin Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing . 2013

机译：基于多尺度局部协方差的特征提取用于高光谱图像分割
5. Distance-weighted regularization for compressed-sensing video recovery and supervised hyperspectral classification [D] . Tramel, Eric W. 2012

机译：距离加权正则化用于压缩感知视频恢复和有监督的高光谱分类
6. Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization [O] . Wei Huang, Liang Xiao, Hongyi Liu, 2015

机译：压缩感知启发式字典学习和空间光谱正则化的高光谱图像超分辨率
7. Multiscale Dense Cross-Attention Mechanism with Covariance Pooling for Hyperspectral Image Scene Classification [O] . Runmin Liu, Xin Ning, Weiwei Cai, 2021

机译：用于高光谱图像场景分类的多尺度密集跨关注机制

1 Using Multiscale Spectra in Regularizing Covariance Matrices for Hyperspectral Image Classification

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