Classification of high-spatial resolution imagery based on distance-weighted Markov random field with an improved iterated conditional mode method

Qian Zhang; Liangpei Zhang; Xin Huang

doi:10.1080/01431161.2010.549854

Classification of high-spatial resolution imagery based on distance-weighted Markov random field with an improved iterated conditional mode method

International Journal of Remote Sensing ◽

10.1080/01431161.2010.549854 ◽

2011 ◽

Vol 32 (24) ◽

pp. 9843-9868 ◽

Cited By ~ 3

Author(s):

Qian Zhang ◽

Liangpei Zhang ◽

Xin Huang

Keyword(s):

Random Field ◽

Spatial Resolution ◽

Markov Random Field ◽

High Spatial Resolution ◽

Markov Random ◽

Conditional Mode ◽

Distance Weighted ◽

Mode Method ◽

High Spatial Resolution Imagery

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Classification of High Spatial Resolution Imagery Using Improved Gaussian Markov Random-Field-Based Texture Features

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2007.892602 ◽

2007 ◽

Vol 45 (5) ◽

pp. 1458-1468 ◽

Cited By ~ 61

Author(s):

Yindi Zhao ◽

Liangpei Zhang ◽

Pingxiang Li ◽

Bo Huang

Keyword(s):

Random Field ◽

Spatial Resolution ◽

Markov Random Field ◽

High Spatial Resolution ◽

Texture Features ◽

Gaussian Markov Random Field ◽

Markov Random ◽

High Spatial Resolution Imagery

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Unsupervised Change Detection Based on Weighted Change Vector Analysis and Improved Markov Random Field for High Spatial Resolution Imagery

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2021.3059461 ◽

2021 ◽

pp. 1-5

Author(s):

Hong Fang ◽

Peijun Du ◽

Xin Wang ◽

Cong Lin ◽

Pengfei Tang

Keyword(s):

Change Detection ◽

Random Field ◽

Spatial Resolution ◽

Markov Random Field ◽

High Spatial Resolution ◽

Vector Analysis ◽

Change Vector Analysis ◽

Markov Random ◽

Change Vector ◽

High Spatial Resolution Imagery

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Errata Erratum to “Unsupervised Change Detection Based on Weighted Change Vector Analysis and Improved Markov Random Field for High Spatial Resolution Imagery”

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2021.3066025 ◽

2022 ◽

Vol 19 ◽

pp. 1-1

Author(s):

Hong Fang ◽

Peijun Du ◽

Xin Wang ◽

Cong Lin ◽

Pengfei Tang

Keyword(s):

Change Detection ◽

Random Field ◽

Spatial Resolution ◽

Markov Random Field ◽

High Spatial Resolution ◽

Vector Analysis ◽

Change Vector Analysis ◽

Markov Random ◽

Change Vector ◽

High Spatial Resolution Imagery

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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 ◽

Cited By ~ 7

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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Urban area detection from high-spatial resolution remote sensing imagery using Markov random field-based region growing

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.8.083566 ◽

2014 ◽

Vol 8 (1) ◽

pp. 083566 ◽

Cited By ~ 4

Author(s):

Chen Zheng ◽

Leiguang Wang ◽

Hui Zhao ◽

Xiaohui Chen

Keyword(s):

Remote Sensing ◽

Random Field ◽

Urban Area ◽

Spatial Resolution ◽

Markov Random Field ◽

High Spatial Resolution ◽

Region Growing ◽

Remote Sensing Imagery ◽

Markov Random

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A Markov Random Field Moel with Alternating Granularities for Segmentation of High Spatial Resolution Remote Sensing Imagery

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8900552 ◽

2019 ◽

Author(s):

Chen Zheng ◽

Min Zhang ◽

Xiaohui Chen ◽

Leiguang Wang

Keyword(s):

Remote Sensing ◽

Random Field ◽

Spatial Resolution ◽

Markov Random Field ◽

High Spatial Resolution ◽

Remote Sensing Imagery ◽

Markov Random

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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 ◽

Cited By ~ 40

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 ◽

Sar Images ◽

Markov Random Field Model ◽

Markov Random ◽

Very High

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Spectral-spatial conditional random field classifier with location cues for high spatial resolution imagery

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2015.7326797 ◽

2015 ◽

Author(s):

Ji Zhao ◽

Yanfei Zhong ◽

Hong Shu ◽

Liangpei Zhang

Keyword(s):

Random Field ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Conditional Random Field ◽

High Spatial Resolution Imagery

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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 ◽

Cited By ~ 209

Author(s):

F.S. Cohen ◽

Z. Fan ◽

M.A. Patel

Keyword(s):

Random Field ◽

Markov Random Field ◽

Gaussian Markov Random Field ◽

Markov Random

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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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