High resolution SAR-image classification by Markov random fields and finite mixtures

Mapping Intimacies ◽

10.1117/12.838594 ◽

2010 ◽

Cited By ~ 2

Author(s):

Gabriele Moser ◽

Vladimir Krylov ◽

Sebastiano B. Serpico ◽

Josiane Zerubia

Keyword(s):

High Resolution ◽

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Finite Mixtures ◽

Sar Image ◽

Markov Random

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Multichannel SAR Image Classification by Finite Mixtures, Copula Theory and Markov Random Fields

10.1063/1.3573633 ◽

2011 ◽

Cited By ~ 1

Author(s):

Vladimir A. Krylov ◽

Gabriele Moser ◽

Sebastiano B. Serpico ◽

Josiane Zerubia ◽

Ali Mohammad-Djafari ◽

...

Keyword(s):

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Finite Mixtures ◽

Sar Image ◽

Copula Theory ◽

Markov Random

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SAR-image classification with a directional-oriented discrete Hermite transform and Markov random fields

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477) ◽

10.1109/igarss.2003.1294809 ◽

2004 ◽

Author(s):

B. Escalante-Ramirez ◽

P. Lopez-Quiroz ◽

J.L. Silvan-Cardenas

Keyword(s):

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Sar Image ◽

Hermite Transform ◽

Markov Random

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Bayesian Image Classification Using Markov Random Fields

Maximum Entropy and Bayesian Methods ◽

10.1007/978-94-017-2217-9_45 ◽

1993 ◽

pp. 375-382 ◽

Cited By ~ 4

Author(s):

Z. Kato ◽

J. Zerubia ◽

M. Berthod

Keyword(s):

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Markov Random

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Combining Support Vector Machines and Markov Random Fields in an Integrated Framework for Contextual Image Classification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2012.2211882 ◽

2013 ◽

Vol 51 (5) ◽

pp. 2734-2752 ◽

Cited By ~ 127

Author(s):

Gabriele Moser ◽

Sebastiano B. Serpico

Keyword(s):

Support Vector Machines ◽

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Support Vector ◽

Integrated Framework ◽

Markov Random ◽

Vector Machines

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A novel segmentation method of high resolution remote sensing image based on object-oriented Markov random fields model

10.1117/12.912791 ◽

2011 ◽

Author(s):

Liang Hong ◽

Xianchun Pan ◽

Zhaozhong Gao ◽

Kun Yang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Random Fields ◽

Markov Random Fields ◽

Object Oriented ◽

Remote Sensing Image ◽

Segmentation Method ◽

Markov Random

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Unsupervised change detection with high-resolution SAR images by edge-preserving Markov random fields and graph-cuts

2012 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2012.6351112 ◽

2012 ◽

Cited By ~ 3

Author(s):

Gabriele Moser ◽

Sebastiano B. Serpico

Keyword(s):

High Resolution ◽

Change Detection ◽

Random Fields ◽

Markov Random Fields ◽

Graph Cuts ◽

Sar Images ◽

Edge Preserving ◽

Markov Random

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Parallel probabilistic relaxation labelling based on Markov random fields for spectral-spatial hyperspectral image classification

International Journal of Remote Sensing ◽

10.1080/01431161.2016.1210837 ◽

2016 ◽

Vol 37 (18) ◽

pp. 4356-4379 ◽

Cited By ~ 3

Author(s):

Brajesh Kumar ◽

Onkar Dikshit

Keyword(s):

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Markov Random ◽

Probabilistic Relaxation

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Hyperspectral image classification based on spectral-spatial features using probabilistic SVM and locally weighted Markov Random Fields

2014 Iranian Conference on Intelligent Systems (ICIS) ◽

10.1109/iraniancis.2014.6802573 ◽

2014 ◽

Cited By ~ 11

Author(s):

Mostafa Borhani ◽

Hassn Ghassemian

Keyword(s):

Image Classification ◽

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Spatial Features ◽

Markov Random

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Classification of very high resolution SAR images of urban areas by dictionary-based mixture models, copulas, and Markov random fields using textural features

10.1117/12.865023 ◽

2010 ◽

Cited By ~ 1

Author(s):

Aurélie Voisin ◽

Gabriele Moser ◽

Vladimir A. Krylov ◽

Sebastiano B. Serpico ◽

Josiane Zerubia

Keyword(s):

High Resolution ◽

Mixture Models ◽

Random Fields ◽

Urban Areas ◽

Markov Random Fields ◽

Textural Features ◽

Sar Images ◽

Markov Random ◽

Very High

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SAR image segmentation through information-theoretic heterogeneity features and tree-structured Markov random fields

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. ◽

10.1109/igarss.2005.1525650 ◽

2005 ◽

Cited By ~ 2

Author(s):

B. Aiazzi ◽

S. Baronti ◽

L. Alparone ◽

G. Cuozzo ◽

C. D'Elia ◽

...

Keyword(s):

Image Segmentation ◽

Random Fields ◽

Markov Random Fields ◽

Sar Image ◽

Information Theoretic ◽

Markov Random ◽

Sar Image Segmentation

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