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Class-Specific Sparse Multiple Kernel Learning for Spectral–Spatial Hyperspectral Image Classification

November 9, 2019

Class-Specific Sparse Multiple Kernel Learning for Spectral–Spatial Hyperspectral Image Classification
Tianzhu Liu, Yanfeng Gu, Xiuping Jia, Jón Atli Benediktsson and Jocelyn Chanussot

IEEE Transactions on Geoscience and Remote Sensing
Year: 2016 | Volume: 54, Issue: 12

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1	.pdf	4.20 MB	TGRS_2016_MLK_Yanfeng_Gu
2	.zip	3.58 KB	CS-SMKL

CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences
Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
SVM-and MRF-Based Method for Accurate Classification of Hyperspectral Images
Extended profiles with morphological attribute filters for the analysis of hyperspectral data
Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images

Class-Specific Sparse Multiple Kernel Learning for Spectral–Spatial Hyperspectral Image Classification

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