Spectral–spatial classification of hyperspectral images by algebraic multigrid based multiscale information fusion

Keywords

Hyperspectral imaging, Computer science, Pattern recognition (psychology), Segmentation, Markov random field

References

• Kernel methods for remote sensing data analysisPeter Gehler, Bernhard Scholkopf — 2009
• Signal Theory Methods in Multispectral Remote SensingD. A. Landgrebe — 2003
• A multigrid tutorial (2nd ed.)William L. Briggs, Van Emden Henson, Steve McCormick — 2000
• Spectral–Spatial Hyperspectral Image Classification Using ℓ_1/2 Regularized Low-Rank Representation and Sparse Representation-Based Graph CutsSen Jia, Xiujun Zhang, Qingquan Li — 2015
• Classification of Hyperspectral Images by Exploiting Spectral–Spatial Information of Superpixel via Multiple KernelsLeyuan Fang, Shutao Li, Wuhui Duan — 2015
• An Introduction to Algebraic Multigrid ComputingRobert D. Falgout — 2006
• A Graph-Based Classification Method for Hyperspectral ImagesJun Bai, Shiming Xiang, Chunhong Pan — 2013
• Generalized Composite Kernel Framework for Hyperspectral Image ClassificationJun Li, Prashanth Marpu, Antonio Plaza — 2013
• Advances in Spectral-Spatial Classification of Hyperspectral ImagesMathieu Fauvel, Yuliya Tarabalka, Jón Atli Benediktsson — 2013
• Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning MethodsGustavo Camps-Valls, Devis Tuia, Lorenzo Bruzzone — 2013
• Graph-cut-based model for spectral-spatial classification of hyperspectral imagesYuliya Tarabalka, Aakanksha Rana — 2014
• Multiple Feature Learning for Hyperspectral Image ClassificationJun Li, Xin Huang, Paolo Gamba — 2015
• A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profilesAntonio Plaza, Pablo Martinez, R. Pérez — 2004
• Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological ProfilesMathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson — 2008
• Spectral–Spatial Classification of Hyperspectral Data Based on a Stochastic Minimum Spanning Forest ApproachK. Bernard, Yuliya Tarabalka, Jesús Angulo — 2012
• Discriminative Gabor Feature Selection for Hyperspectral Image ClassificationLinlin Shen, Zexuan Zhu, Sen Jia — 2013
• A spatial-spectral kernel-based approach for the classification of remote-sensing imagesMathieu Fauvel, J. Chanussot, Jón Atli Benediktsson — 2012
• Spectral–Spatial Classification of Hyperspectral Images Based on Hidden Markov Random FieldsPedram Ghamisi, Jón Atli Benediktsson, Magnús Ö. Úlfarsson — 2014
• Combining Support Vector Machines and Markov Random Fields in an Integrated Framework for Contextual Image ClassificationGabriele Moser, Sebastiano B. Serpico — 2013
• A comparative study of spatial approaches for urban mapping using hyperspectral ROSIS images over Pavia City, northern ItalyXin Huang, Liangpei Zhang — 2009

Cited by

• A probabilistic framework for weighted combination of multiple-feature classifications of hyperspectral imagesReza Seifi Majdar, Hassan Ghassemian — 2019
• Multiple Kernel-Based SVM Classification of Hyperspectral Images by Combining Spectral, Spatial, and Semantic InformationYi Wang, Wenke Yu, Zhice Fang — 2020
• Hyperspectral Image Classification using Spectral LSTM NetworksSimranjith Singh, Singara Singh Kasana — 2019

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