Bayesian Classification of Hyperspectral Imagery Based on Probabilistic Sparse Representation and Markov Random Field

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2013.2279395 ◽

2014 ◽

Vol 11 (4) ◽

pp. 823-827 ◽

Author(s):

Linlin Xu ◽

Jonathan Li

Keyword(s):

Random Field ◽

Sparse Representation ◽

Markov Random Field ◽

Hyperspectral Imagery ◽

Bayesian Classification ◽

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Adaptive Markov Random Field Approach for Classification of Hyperspectral Imagery

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2011.2145353 ◽

2011 ◽

Vol 8 (5) ◽

pp. 973-977 ◽

Author(s):

Bing Zhang ◽

Shanshan Li ◽

Xiuping Jia ◽

Lianru Gao ◽

Man Peng

Keyword(s):

Random Field ◽

Markov Random Field ◽

Hyperspectral Imagery ◽

Field Approach ◽

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Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2018.2858008 ◽

2018 ◽

Vol 11 (9) ◽

pp. 3325-3337 ◽

Author(s):

Yuan Fang ◽

Linlin Xu ◽

Junhuan Peng ◽

Honglei Yang ◽

Alexander Wong ◽

...

Keyword(s):

Random Field ◽

Mixture Model ◽

Markov Random Field ◽

Hyperspectral Image ◽

Bayesian Classification ◽

Markov Random ◽

Spectral Mixture

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Classification of Very High Resolution SAR Images of Urban Areas Using Copulas and Texture in a Hierarchical Markov Random Field Model

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2012.2193869 ◽

2013 ◽

Vol 10 (1) ◽

pp. 96-100 ◽

Author(s):

Aurelie Voisin ◽

Vladimir A. Krylov ◽

Gabriele Moser ◽

Sebastiano B. Serpico ◽

Josiane Zerubia

Keyword(s):

High Resolution ◽

Random Field ◽

Markov Random Field ◽

Urban Areas ◽

Field Model ◽

Markov Random Field Model ◽

Markov Random ◽

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Classification of rotated and scaled textured images using Gaussian Markov random field models

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/34.67648 ◽

1991 ◽

Vol 13 (2) ◽

pp. 192-202 ◽

Author(s):

F.S. Cohen ◽

Z. Fan ◽

M.A. Patel

Keyword(s):

Random Field ◽

Markov Random Field ◽

Gaussian Markov Random Field ◽

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Spectral-Spatial Classification of Hyperspectral Remote Sensing Images Using Minimum Spanning Forest and Markov Random Field Classifier

Journal of Environmental Science Computer Science and Engineering & Technology ◽

10.24214/jecet.a.10.4.67488 ◽

2021 ◽

Vol 10 (4) ◽

Keyword(s):

Remote Sensing ◽

Random Field ◽

Markov Random Field ◽

Hyperspectral Remote Sensing ◽

Remote Sensing Images ◽

Spanning Forest ◽

Markov Random ◽

Minimum Spanning Forest ◽

Hyperspectral Remote Sensing Images

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Risks of Classification of the Gaussian Markov Random Field Observations

Journal of Classification ◽

10.1007/s00357-018-9269-7 ◽

2018 ◽

Vol 35 (3) ◽

pp. 422-436 ◽

Author(s):

Kęstutis Dučinskas ◽

Lina Dreižienė

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Observations ◽

Gaussian Markov Random Field ◽

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Errata: Adaptive support vector machine and Markov random field model for classifying hyperspectral imagery

Journal of Applied Remote Sensing ◽

10.1117/1.3628662 ◽

2011 ◽

Vol 5 (1) ◽

pp. 050101

Author(s):

Shanshan Li

Keyword(s):

Support Vector Machine ◽

Random Field ◽

Markov Random Field ◽

Field Model ◽

Hyperspectral Imagery ◽

Support Vector ◽

Random Field Model ◽

Markov Random Field Model ◽

Markov Random ◽

Adaptive Support

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Markov random field terrain classification of large-scale 3D maps

2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014) ◽

10.1109/robio.2014.7090625 ◽

2014 ◽

Author(s):

Marcel Haselich ◽

Benedikt Jobgen ◽

Frank Neuhaus ◽

Dagmar Lang ◽

Dietrich Paulus

Keyword(s):

Random Field ◽

Markov Random Field ◽

Large Scale ◽

Terrain Classification ◽

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Superpixel-based Markov random field for classification of hyperspectral images

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS ◽

10.1109/igarss.2013.6723581 ◽

2013 ◽

Author(s):

Shanshan Li ◽

Xiuping Jia ◽

Bing Zhang

Keyword(s):

Random Field ◽

Markov Random Field ◽

Hyperspectral Images ◽

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Brain Tumor Segmentation from Multispectral MRIs Using Sparse Representation Classification and Markov Random Field Regularization

International Journal of Signal Processing Image Processing and Pattern Recognition ◽

10.14257/ijsip.2015.8.9.24 ◽

2015 ◽

Vol 8 (9) ◽

pp. 229-238 ◽

Author(s):

Tianming Zhan ◽

Shenghua Gu ◽

Can Feng ◽

Yongzhao Zhan ◽

Jin Wang

Keyword(s):

Brain Tumor ◽

Random Field ◽

Sparse Representation ◽

Markov Random Field ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Markov Random ◽

Sparse Representation Classification

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