hyperspectral for coal mining

hyperspectral for coal mining

Hyperspectral analysis of soil organic matter in coal ...

2016-1-17  Hyperspectral estimation of soil organic matter (SOM) in coal mining regions is an important tool for enhancing fertilization in soil restoration programs. The correlation—partial least squares regression (PLSR) method effectively solves the information loss problem of correlation—multiple linear stepwise regression, but results of the correlation analysis must be optimized to improve ...

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hyperspectral for coal mining - Mine Equipments

Hyperspectral imaging - Wikipedia, the free encyclopedia Hyperspectral imaging, like other spectral imaging, collects and processes .... originally developed for mining and geology (the ability of hyperspectral imaging to .... Most countries require continuous monitoring of emissions produced by

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(PDF) A 91-Channel Hyperspectral LiDAR for Coal/Rock ...

A 91-Channel Hyperspectral LiDAR for Coal/Rock Classification. ... it is a critical task in coal mines to significantly improve the safety by precision coal mining sorting and rock

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Use of hyperspectral imagery to detect affected vegetation ...

2021-11-1  Use of hyperspectral imagery to detect affected vegetation and heavy metal polluted areas: a coal mining area, China. Xingchen Yang Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou, ...

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Mining Energy Hyperspectral Intelligence

For mining companies who want to work efficiently while conforming to social distancing rules and travel restrictions, the geoLOGr is a hyperspectral rock analyzer that produces accurate and objective drill core logs for less than $10/meter in an automated and easy-to

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COAL - Coal and Open-pit surface mining impacts on ...

2019-2-12  Coal and Open-pit surface mining impacts on American Lands (COAL) COAL is a Python library for processing hyperspectral imagery from remote sensing devices such as the Airborne Visible/InfraRed Imaging Spectrometer (AVIRIS). COAL provides a suite of algorithms for classifying land cover, identifying mines and other geographic features, and correlating them with environmental data

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Characterization and Identification of Coal and ...

Because of the high organic carbon concentration in carbonaceous shale, a large proportion of carbonaceous shales are often misclassified into coals using visible and near-infrared (VIS-NIR) reflectance spectroscopy in the field of coal-gangue identification of hyperspectral remote sensing of coal mine. In order to study spectral characterization of coal and carbonaceous shale, three ...

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Hyperspectral inversion of heavy metal content in ...

2019-3-15  The CWT-RBF model has advantages in the determination of heavy metals in reclaimed mining wasteland soil. It can be used to quantitatively monitor soil in the mining wasteland during land reclamation and management. The results provide a method and theoretical support for the hyperspectral inversion of heavy metals in soil from mining wastelands.

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Characterization of heavy metals in coal gangue-reclaimed ...

2018-3-1  The Huainan coal mining area is a typical coal mining area with high phreatic water level, and water accumulation in the coal-forming subsidence areas is serious (Yao et al., 2010). The long-term water-rock interaction between water and gangue might lead to migration and transformation of heavy metals, causing heavy metal enrichment in coal ...

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A 91-Channel Hyperspectral LiDAR for Coal/Rock ...

2019-9-12  During the mining operation, it is a critical task in coal mines to significantly improve the safety by precision coal mining sorting and rock classification from different layers. It implies that a technique for rapidly and accurately classifying coal/rock in-site needs to be investigated and established, which is of significance for improving the coal mining efficiency and safety. In this ...

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Hyperspectral‐based Inversion of Heavy Metal Content in ...

2019-1-1  Coal mining has environmental impacts on surrounding areas, including heavy metal contamination of soil. This study explores the feasibility of using hyperspectral remote sensing to determine the heavy metal (Cr, Ni, Cu, Zn, Cd, Pb) content of soils in a coal-mining area in the city of Zoucheng, Shandong Province, China.

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Hyperspectral inversion of heavy metal content in ...

2019-3-15  The CWT-RBF model has advantages in the determination of heavy metals in reclaimed mining wasteland soil. It can be used to quantitatively monitor soil in the mining wasteland during land reclamation and management. The results provide a method and theoretical support for the hyperspectral inversion of heavy metals in soil from mining wastelands.

Read More
Hyperspectral Imaging for Ore Distinction - HySpex

The use of hyperspectral imaging allows for a precise identification of minerals and materials anywhere from exploration and mining to processing and manufacturing. HySpex offers a varied selection of turn-key solutions for scientific and industrial applications. Data, results and images courtesy of:

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Geometallurgy hyperspectral mineralogy : ALS

The major hurdle in implementing routine spectral analysis is accurately interpreting large volumes of raw spectral data and integrating it into your workflow. aiSIRIS™ by AusSpec resolves these challenges by rapidly processing raw spectra into database-friendly mineral assemblages and parameters. aiSIRIS is a 3rd generation AI spectral interpretation system.

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A REAL-TIME COAL CONTENT/ORE GRADE (C2OC)

2005-4-1  Classification maps for coal have been generated and shown to two coal-mining executives. An application for licensing high-speed hyperspectral data analysis software from the Naval Research Laboratory (NRL) has been made. Both Western Energy and Stillwater Mining Company have offered platforms for Year-3 deployment.

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张成业-地球科学与测绘工程学院-中国矿业大学(北京)

2021-11-23  Hyperspectral remote sensing for coal-bed methane exploration. IEEE International Geoscience and Remote Sensing Symposium (IGARSS). July 13, 2014 - July 18, 2014. Quebec City, QC, Canada. pp. 262-265. 13、张成业,李小娟,刘东升,任芳,袁德宝. . 2

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谭琨 - 华东师范大学 - 地理科学学院

K. Tan, C. Niu, X. Jia, D. Ou, Y. Chen, and S. Lei, Complete and accurate data correction for seamless mosaicking of airborne hyperspectral images: A case study at a mining site in Inner Mongolia, China, ISPRS Journal of Photogrammetry and Remote Sensing ...

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文志杰-山东科技大学能源与矿业工程学院 - sdust.edu.cn

2020-11-30  A 91-Channel Hyperspectral LiDAR for Coal/Rock Classification[J],IEEE Geoscience and Remote Sensing Letters,2019,1-5. [9] ... Overlying strata structural modeling and support applicability analysis for large mining-height stopes[J], Journal of Loss Prevention ...

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Characterization of heavy metals in coal gangue-reclaimed ...

2018-3-1  The Huainan coal mining area is a typical coal mining area with high phreatic water level, and water accumulation in the coal-forming subsidence areas is serious (Yao et al., 2010). The long-term water-rock interaction between water and gangue might lead to migration and transformation of heavy metals, causing heavy metal enrichment in coal ...

Read More
Hyperspectral‐based Inversion of Heavy Metal Content in ...

2019-1-1  Coal mining has environmental impacts on surrounding areas, including heavy metal contamination of soil. This study explores the feasibility of using hyperspectral remote sensing to determine the heavy metal (Cr, Ni, Cu, Zn, Cd, Pb) content of soils in a coal-mining area in the city of Zoucheng, Shandong Province, China.

Read More
Hyperspectral Imaging for Ore Distinction - HySpex

The use of hyperspectral imaging allows for a precise identification of minerals and materials anywhere from exploration and mining to processing and manufacturing. HySpex offers a varied selection of turn-key solutions for scientific and industrial applications. Data, results and images courtesy of:

Read More
hyperspectral-image-classification GitHub Topics GitHub

2021-11-23  python classification hyperspectral-image-classification classification-algorithm coal open-surface-mining surface-mining-activities Updated Aug 4, 2021 Python

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AMT - Detection and quantification of CH4 plumes using

2021-2-18  During coal mining, the enclosed methane is released into the environment. For underground mining, the methane concentration in the air in the mining shafts is kept well below the explosion limit by ventilating the shafts with fresh air (Özgen Karacan, 2008). The ventilation shafts then emit the total emissions from the whole mine.

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A REAL-TIME COAL CONTENT/ORE GRADE (C2OC)

2005-4-1  Classification maps for coal have been generated and shown to two coal-mining executives. An application for licensing high-speed hyperspectral data analysis software from the Naval Research Laboratory (NRL) has been made. Both Western Energy and Stillwater Mining Company have offered platforms for Year-3 deployment.

Read More
张成业-地球科学与测绘工程学院-中国矿业大学(北京)

2021-11-23  Hyperspectral remote sensing for coal-bed methane exploration. IEEE International Geoscience and Remote Sensing Symposium (IGARSS). July 13, 2014 - July 18, 2014. Quebec City, QC, Canada. pp. 262-265. 13、张成业,李小娟,刘东升,任芳,袁德宝. . 2

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文志杰-山东科技大学能源与矿业工程学院 - sdust.edu.cn

2020-11-30  A 91-Channel Hyperspectral LiDAR for Coal/Rock Classification[J],IEEE Geoscience and Remote Sensing Letters,2019,1-5. [9] ... Overlying strata structural modeling and support applicability analysis for large mining-height stopes[J], Journal of Loss Prevention ...

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Characterization of heavy metals in coal gangue-reclaimed ...

2018-3-1  The Huainan coal mining area is a typical coal mining area with high phreatic water level, and water accumulation in the coal-forming subsidence areas is serious (Yao et al., 2010). The long-term water-rock interaction between water and gangue might lead to migration and transformation of heavy metals, causing heavy metal enrichment in coal ...

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hyperspectral-image-classification GitHub Topics GitHub

2021-10-5  This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework". deep-learning supervised-learning hyperspectral-image-classification spectral-spatial-residual-network. Updated on May 4, 2018.

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陈宇-中国矿业大学环境与测绘学院

2021-8-26  l教育与学历姓名:陈宇学位:博士职称:讲师研究方向:InSAR地表形变监测与误差分析;资源环境遥感Email: [email protected]教育与学历2014.03-2017.03地球与行星科学博士法国图卢兹大学2010.09-2012.06摄影测量与...

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