Underground Coal Mine Target Tracking via Multi-Feature Joint Sparse Representation

Journal of Computer and Communications ◽

10.4236/jcc.2021.93009 ◽

2021 ◽

Vol 09 (03) ◽

pp. 118-132

Author(s):

Yan Lu ◽

Qingxiang Huang

Keyword(s):

Sparse Representation ◽

Target Tracking ◽

Coal Mine ◽

Underground Coal Mine ◽

Joint Sparse Representation

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Infrared Target Tracking Using Multi-Feature Joint Sparse Representation

Proceedings of the International Conference on Research in Adaptive and Convergent Systems - RACS '16 ◽

10.1145/2987386.2987392 ◽

2016 ◽

Author(s):

Shu Juan Gao ◽

Seong Tae Jhang

Keyword(s):

Sparse Representation ◽

Target Tracking ◽

Joint Sparse Representation

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393. Airborne Microbial Ecology in an Underground Coal Mine

10.3320/1.2766338 ◽

2002 ◽

Author(s):

C. Rao ◽

J. Martin ◽

J. Cocalis

Keyword(s):

Microbial Ecology ◽

Coal Mine ◽

Underground Coal Mine

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A brief analysis of electromagnetic interference in the underground coal mine safety monitoring system

Information Technology and Industrial Engineering ◽

10.2495/itie130421 ◽

2013 ◽

Author(s):

Xingzhi Hu ◽

Jikun Wang ◽

Xuezhe Li ◽

Feiji Ding

Keyword(s):

Monitoring System ◽

Coal Mine ◽

Electromagnetic Interference ◽

Safety Monitoring ◽

Mine Safety ◽

Underground Coal Mine ◽

Coal Mine Safety ◽

Safety Monitoring System

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Underground coal mine map reading training.

10.26616/nioshpub2009143c ◽

2009 ◽

Keyword(s):

Coal Mine ◽

Underground Coal Mine ◽

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Field evaluation of seat designs for underground coal mine shuttle cars.

10.26616/nioshpub2007100 ◽

2006 ◽

Keyword(s):

Coal Mine ◽

Field Evaluation ◽

Underground Coal Mine

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Groundwater-quality data associated with abandoned underground coal mine aquifers in West Virginia, 1973-2016: Compilation of existing data from multiple sources

Data Series ◽

10.3133/ds1069 ◽

2017 ◽

Author(s):

Mitchell A. McAdoo ◽

Mark D. Kozar

Keyword(s):

West Virginia ◽

Groundwater Quality ◽

Coal Mine ◽

Quality Data ◽

Multiple Sources ◽

Underground Coal Mine ◽

Abandoned Underground Coal Mine ◽

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A Trial of Microseismic Monitoring of Coal Bumps at an Underground Coal Mine in China

Proceedings of the Sixth International Symposium on Rockburst and Seismicity in Mines Proceedings ◽

10.36487/acg_repo/574_10 ◽

2005 ◽

Author(s):

Xun Luo ◽

Feng Jiang ◽

S Yang

Keyword(s):

Coal Mine ◽

Microseismic Monitoring ◽

Underground Coal Mine ◽

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Multi-feature hyperspectral image classification with L2,1 norm constrained joint sparse representation

International Journal of Remote Sensing ◽

10.1080/01431161.2021.1890854 ◽

2021 ◽

Vol 42 (12) ◽

pp. 4789-4808

Author(s):

Chengkun Zhang ◽

Min Han

Keyword(s):

Sparse Representation ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Joint Sparse Representation

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Joint sparse representation of hyperspectral image classification based on optimized dictionary

2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT) ◽

10.1109/iceict51264.2020.9334331 ◽

2020 ◽

Author(s):

Yueying Zhang ◽

Ming Zhang ◽

Zhen Qin ◽

Yu Zheng ◽

Wenwen Chen ◽

...

Keyword(s):

Sparse Representation ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Joint Sparse Representation

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Insights on the characteristics and sources of gas from an underground coal mine using compositional data analysis

International Journal of Coal Geology ◽

10.1016/j.coal.2021.103767 ◽

2021 ◽

pp. 103767

Author(s):

C. Özgen Karacan ◽

Josep Antoni Martín-Fernández ◽

Leslie F. Ruppert ◽

Ricardo A. Olea

Keyword(s):

Data Analysis ◽

Coal Mine ◽

Compositional Data ◽

Compositional Data Analysis ◽

Underground Coal Mine

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