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Ideal Regularized Kernels for Hyperspectral Image Classification Conference paper
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, 10-15 July 2016
Authors:  Jiangtao Peng;  Yicong Zhou
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2019/03/26
Hyperspectral Image Classification  Ideal Kernel  Regularization  Composite Kernel  
Hyperspectral image classification using distance metric based 1-dimensional manifold embedding Conference paper
Proceedings of the 2016 International Conference on Wavelet Analysis and Pattern Recognition, Jeju, 10-13 July 2016
Authors:  HUI-WU LUO;  YU-LONG WANG;  YUAN YAN TANG;  CHUN-LI LI;  JIAN-ZHONG WANG
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/11
Classification  Feature Extraction  High Dimensional Data Analysis  Manifold Learning  Remote Sensing  
Stacked Tensor Subspace Learning for hyperspectral image classification Conference paper
Proceedings of the International Joint Conference on Neural Networks, Vancouver, CANADA, JUL 24-29, 2016
Authors:  Wei Y.;  Zhou Y.
Favorite |  | TC[WOS]:1 TC[Scopus]:2 | Submit date:2018/12/21
Hyperspectral Image Classification Based on Spectral-Spatial One-Dimensional Manifold Embedding Journal article
IEEE Transactions on Geoscience and Remote Sensing, 2016,Volume: 54,Issue: 9,Page: 5319-5340
Authors:  Huiwu Luo;  Yuan Yan Tang;  Yulong Wang;  Jianzhong Wang;  Lina Yang;  Chunli Li;  Tingbo Hu
Favorite |  | TC[WOS]:18 TC[Scopus]:19 | Submit date:2019/02/11
1-d Embedding  High-dimensional Data Processing  Hyperspectral Image (Hsi) Classification  Manifold Learning (Ml)  Smooth Interpolation  Smooth Ordering  Spatial Context  Spectral-spatial Metric  
Multiple one-dimensional embedding clustering scheme for hyperspectral image classification Journal article
International Journal of Wavelets, Multiresolution and Information Processing, 2016,Volume: 14,Issue: 2
Authors:  Song Y.;  Li H.;  Wang J.;  Kou K.I.
Favorite |  | TC[WOS]:9 TC[Scopus]:6 | Submit date:2019/02/13
1D multi embedding  hyperspectral image classification  regularization  Sorting  
Learning Hierarchical Spectral-Spatial Features for Hyperspectral Image Classification Journal article
IEEE Transactions on Cybernetics, 2016,Volume: 46,Issue: 7,Page: 1667
Authors:  Zhou Y.;  Wei Y.
Favorite |  | TC[WOS]:69 TC[Scopus]:79 | Submit date:2018/10/30
Hierarchical Learning  Hyperspectral Image Classification  Kernel-based Extreme Learning Machine  Spectral-spatial Feature