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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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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Supervised Classification of Social Spammers using a Similarity-based Markov Random Field Approach

Proceedings of the 5th Multidisciplinary International Social Networks Conference on - MISNC '18 ◽

10.1145/3227696.3227712 ◽

2018 ◽

Author(s):

Nour El-Mawass ◽

Paul Honeine ◽

Laurent Vercouter

Keyword(s):

Random Field ◽

Markov Random Field ◽

Supervised Classification ◽

Field Approach ◽

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Spatial-Attraction-Based Markov Random Field Approach for Classification of High Spatial Resolution Multispectral Imagery

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2013.2268968 ◽

2014 ◽

Vol 11 (2) ◽

pp. 489-493 ◽

Author(s):

Hua Zhang ◽

Wenzhong Shi ◽

Yunjia Wang ◽

Ming Hao ◽

Zelang Miao

Keyword(s):

Random Field ◽

Spatial Resolution ◽

Markov Random Field ◽

High Spatial Resolution ◽

Multispectral Imagery ◽

Field Approach ◽

Markov Random ◽

Spatial Attraction

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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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Reconstruction for distributed video coding: a Markov random field approach with context-adaptive smoothness prior

10.1117/12.863504 ◽

2010 ◽

Author(s):

Yongsheng Zhang ◽

Hongkai Xiong ◽

Zhihai He ◽

Songyu Yu

Keyword(s):

Video Coding ◽

Random Field ◽

Markov Random Field ◽

Distributed Video Coding ◽

Field Approach ◽

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A Finite Markov Random Field approach to fast edge-preserving image recovery

Image and Vision Computing ◽

10.1016/j.imavis.2006.05.021 ◽

2007 ◽

Vol 25 (6) ◽

pp. 792-804 ◽

Author(s):

Michele Ceccarelli

Keyword(s):

Random Field ◽

Markov Random Field ◽

Image Recovery ◽

Edge Preserving ◽

Field Approach ◽

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Interactive Image Segmentation using Improved Adaptive Markov Random Field Approach

Indian Journal of Science and Technology ◽

10.17485/ijst/2017/v10i6/94636 ◽

2017 ◽

Vol 10 (6) ◽

pp. 1-9

Author(s):

G. S. Gowri ◽

P. Ponmuthuramalingam ◽

◽

Keyword(s):

Image Segmentation ◽

Random Field ◽

Markov Random Field ◽

Field Approach ◽

Interactive Image Segmentation ◽

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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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