The Earth Environment Change Detection Method Based on the Variable Weight Markov Random Field Combined with the Space Gravity Model

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/831/1/012074 ◽

2021 ◽

Vol 831 (1) ◽

pp. 012074

Author(s):

Ping Zhao ◽

Wanyun Yang ◽

Jian Zhao ◽

Dandan Liu ◽

Xianye Li

Keyword(s):

Change Detection ◽

Random Field ◽

Gravity Model ◽

Markov Random Field ◽

Detection Method ◽

Environment Change ◽

The Earth ◽

Markov Random ◽

Earth Environment ◽

Variable Weight

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Object-based change detection method using refined Markov random field

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.11.016024 ◽

2017 ◽

Vol 11 (1) ◽

pp. 016024 ◽

Author(s):

Daifeng Peng ◽

Yongjun Zhang

Keyword(s):

Change Detection ◽

Random Field ◽

Markov Random Field ◽

Detection Method ◽

Markov Random ◽

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A novel unsupervised forest change detection method based on the integration of a multiresolution singular value decomposition fusion and an edge-aware Markov Random Field algorithm

International Journal of Remote Sensing ◽

10.1080/01431161.2021.1995075 ◽

2021 ◽

Vol 42 (24) ◽

pp. 9368-9396

Author(s):

Amin Mohsenifar ◽

Ali Mohammadzadeh ◽

Armin Moghimi ◽

Bahram Salehi

Keyword(s):

Singular Value Decomposition ◽

Change Detection ◽

Random Field ◽

Markov Random Field ◽

Detection Method ◽

Singular Value ◽

Forest Change ◽

Markov Random ◽

Value Decomposition

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Change detection method for remote sensing images based on an improved Markov random field

Multimedia Tools and Applications ◽

10.1007/s11042-015-2960-3 ◽

2015 ◽

Vol 76 (17) ◽

pp. 17719-17734 ◽

Author(s):

Wei Gu ◽

Zhihan Lv ◽

Ming Hao

Keyword(s):

Remote Sensing ◽

Change Detection ◽

Random Field ◽

Markov Random Field ◽

Detection Method ◽

Remote Sensing Images ◽

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An Advanced Superpixel-Based Markov Random Field Model for Unsupervised Change Detection

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2019.2948660 ◽

2020 ◽

Vol 17 (8) ◽

pp. 1401-1405 ◽

Author(s):

Ming Hao ◽

Mengchao Zhou ◽

Jian Jin ◽

Wenzhong Shi

Keyword(s):

Change Detection ◽

Random Field ◽

Markov Random Field ◽

Field Model ◽

Random Field Model ◽

Markov Random Field Model ◽

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Infrared Image Change Detection of Substation Equipment in Power System Using Markov Random Field

2017 International Conference on Computing Intelligence and Information System (CIIS) ◽

10.1109/ciis.2017.54 ◽

2017 ◽

Author(s):

Jipu Gao ◽

Changbao Xu ◽

Li Zhang ◽

Shuaiwei Liu ◽

Weigang Feng ◽

...

Keyword(s):

Power System ◽

Change Detection ◽

Random Field ◽

Markov Random Field ◽

Infrared Image ◽

Markov Random ◽

Image Change Detection ◽

Substation Equipment

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Change detection in epilepsy monitoring video based on Markov random field theory

Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004. ◽

10.1109/ispacs.2004.1439016 ◽

2005 ◽

Author(s):

Qiang Liu ◽

R.J. Sclabassi ◽

Mingui Sun

Keyword(s):

Field Theory ◽

Change Detection ◽

Random Field ◽

Markov Random Field ◽

Random Field Theory ◽

Markov Random ◽

Epilepsy Monitoring

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Building change detection from remotely sensed images based on spatial domain analysis and Markov random field

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.13.024514 ◽

2019 ◽

Vol 13 (02) ◽

pp. 1 ◽

Author(s):

Kaibin Zong ◽

Arcot Sowmya ◽

John Trinder

Keyword(s):

Change Detection ◽

Random Field ◽

Markov Random Field ◽

Domain Analysis ◽

Remotely Sensed ◽

Spatial Domain ◽

Markov Random ◽

Remotely Sensed Images

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Unsupervised change detection of multispectral images based on spatial constraint chi-squared transform and Markov random field model

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.10.046028 ◽

2016 ◽

Vol 10 (4) ◽

pp. 046028 ◽

Author(s):

Aiye Shi ◽

Chao Wang ◽

Shaohong Shen ◽

Fengchen Huang ◽

Zhenli Ma

Keyword(s):

Change Detection ◽

Random Field ◽

Markov Random Field ◽

Field Model ◽

Multispectral Images ◽

Spatial Constraint ◽

Random Field Model ◽

Markov Random Field Model ◽

Markov Random ◽

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Pointwise approach for change detection between synthetic aperture radar images using bilaterally weighted graph and irregular Markov random field

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.11.026031 ◽

2017 ◽

Vol 11 (2) ◽

pp. 026031 ◽

Author(s):

Jun Wang ◽

Xuezhi Yang ◽

Lu Jia ◽

Fang Zhou ◽

Jiaqiu Ai

Keyword(s):

Synthetic Aperture Radar ◽

Change Detection ◽

Random Field ◽

Markov Random Field ◽

Weighted Graph ◽

Synthetic Aperture ◽

Radar Images ◽

Markov Random ◽

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A Novel Microaneurysms Detection Method Based on Local Applying of Markov Random Field

Journal of Medical Systems ◽

10.1007/s10916-016-0434-4 ◽

2016 ◽

Vol 40 (3) ◽

Author(s):

Razieh Ganjee ◽

Reza Azmi ◽

Mohsen Ebrahimi Moghadam

Keyword(s):

Random Field ◽

Markov Random Field ◽

Detection Method ◽

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