hyperspectral for coal mining
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hyperspectral for coal mining

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 imaging system grades ore quality at coal ...

2021-4-6  Hyperspectral imaging system grades ore quality at coal and gold mines. The OreSense system contributes to the development of automated mining technology. Researchers from the School of Mechanical and Mining Engineering at the University of Queensland (Brisbane, Queensland, Austraila; uq.au ), in collaboration with the Minerals Research ...

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Hyperspectral analysis of soil organic matter in coal ...

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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(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 classification ...

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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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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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Application of hyperspectral remote sensing for ...

As for the research on environment monitoring of mining areas, Singh et al. [17] monitored the impact of coal mining and thermal power industry on land use pattern by remote sensing data. ...

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Hunting new mining deposits with hyperspectral imaging ...

Enter Hyperspectral Imaging. While the data from these different methods was very useful, it still didn’t provide the detail of imaging. Imaging in the visual range simply didn’t offer the detail and information that the mining industry needed. Enter hyperspectral imaging, courtesy of NASA.

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COAL AND OPEN-PIT MINING IMPACTS ON AMERICAN

2019-2-12  COAL AND OPEN-PIT MINING IMPACTS ON AMERICAN LANDS (COAL): A PYTHON LIBRARY FOR PROCESSING HYPERSPECTRAL IMAGERY Lewis J. McGibbney*, Taylor A. Brown**, Heidi A. Clayton**, Xiaomei Wang** * NASA Jet Propulsion Laboratory, California Institute of Technology

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Integration of hyperspectral and LiDAR data for mapping ...

2020-10-1  The present study was conducted on four spoil heaps originating from brown coal mining located in the North Bohemian brown coal basin, the largest mining area in the Czech Republic and one of the largest in all of Europe. The total study area is 37.97 km 2 and the terrain elevation ranges from 200 m to 410 m above sea level .

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New hyperspectral imaging satellite expected ... - mining

The new system has been designed to leverage OSK’s previous experience collecting and analyzing hyperspectral data to support operations in the energy, mining, and defence sectors.

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Hyperspectral Prediction of Soil Organic Matter Content in ...

2021-6-22  Hyperspectral Prediction of Soil Organic Matter Content in the Reclamation Cropland of Coal Mining Areas in the Loess Plateau NAN Feng, ZHU Hong-fen, BI Ru-tian College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, Shanxi

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A review of UAV monitoring in mining areas: current status ...

2019-8-3  Xiao W, Hu Z, Fu Y et al (2014b) Zoning of land reclamation in coal mining area and new progresses for the past 10 years. Int J Coal Sci Technol 1(3):177–183. Article Google Scholar Xiao W, Chen J, Da H et al (2018a) Inversion and analysis of maize biomass in coal mining

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COAL AND OPEN-PIT SURFACE MINING - NASA

2017-11-2  the San Juan Coal Mine in Waterflow, New Mexico Three-dimensional visualization of hyperspectral imagery displaying spectral bands Mineral-classified image showing land surface types surrounding a coal facility in Craig, Colorado. Distribution of coal mining waste classifications along streams and water bodies.

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CDC - Mining - Simplified Hyperspectral Imaging - NIOSH

Mining Publication: Simplified Hyperspectral Imaging for Improved Geologic Mapping of Mine Slopes. Keywords: Infrared analysis Slope stability Spectral analysis. This page is archived for historical purposes and is no longer being maintained or updated. Original

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COAL AND OPEN-PIT MINING IMPACTS ON AMERICAN

2019-2-12  COAL AND OPEN-PIT MINING IMPACTS ON AMERICAN LANDS (COAL): A PYTHON LIBRARY FOR PROCESSING HYPERSPECTRAL IMAGERY Lewis J. McGibbney*, Taylor A. Brown**, Heidi A. Clayton**, Xiaomei Wang** * NASA Jet Propulsion Laboratory, California Institute of Technology

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Hyperspectral Change Detection: General Framework for ...

2021-1-15  Hyperspectral Change Detection: General Framework for Mining Areas S. Adar*a, Y. Shkolniskyb and E. Ben Dorc aPorter School of Environmental Studies at Tel Aviv University, Tel Aviv, Israel; bDepartment of Applied Mathematics, Tel-Aviv University, Israel; cDepartment of Geography and Human Environment, Tel Aviv University, Israel; 1

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Hyperspectral Imaging for Mineral Identification

2020-10-26  hyperspectral imaging as a tool for geological and mining applications. Its use 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. Contact us to

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HySpex

The example shows the potential of hyperspectral imaging as a tool for geological and mining applications. Its use allows for 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.

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Feature Mining for Hyperspectral Image Classification ...

2013-2-5  Feature mining, which includes feature generation, feature selection (FS), and feature extraction (FE), is a critical task for hyperspectral data classification. Significant research effort has focused on this issue since hyperspectral data became available in the late 1980s. The feature mining techniques which have been developed include ...

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Hyperspectral Image Analysis for Iron Mineral Exploration ...

2019-2-7  Hyperspectral Image Analysis for Iron Mineral Exploration and Spectral Unmixing Study in Kiriburu and Meghahataburu Mining Areas, West Singbhum, Jharkhand Narayan Kayet1, Khanindra Pathak2, Abhisek Chakrabarty3 and Satiprasad Sahoo4 1Department of Remote Sensing GIS, Vidyasagar University, Midnapore, INDIA Email: [email protected]

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Acid mine drainage from coal mining in the United States ...

2020-9-1  Also, the coal mining sector could benefit from remote and ground sensing techniques, including the use of unmanned aerial vehicles and hyperspectral imaging for hydrogeochemical investigations. Effective treatment of acid drainage from mine areas reduces material damage, allows resource reuse and recovery, and enables successful post-mine land ...

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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 analysis of soil organic matter in coal ...

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 ...

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A research on coalfield fire detection in Daliuta mining ...

Daliuta mining coal fires at Inner Mongolia were not reported at present in remote sensing. However, they still pose a serious threat to the surroundings. In order to extract combustion range of the coal mine, we used the wintertime thermal airborne infrared hyperspectral images of TASI acquired in 2016 to detect the coal fire of Daliuta mining.

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Estimation of Heavy Metals in Tailings and Soils Using ...

2021-7-9  Rapid assessment of heavy metal (HM) pollution in mining areas is urgently required for further remediation. Here, hyperspectral technology was used to predict HM contents of multi-media environments (tailings, surrounding soils and agricultural soils) in a mining area. The correlation between hyperspectral data and HMs was explored, then the prediction models were established by partial

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hyperspectral for coal mining - crusherasia

A coal seam fire or mine fire is the underground smouldering of a coal deposit, often in a coal mine. ... thermal imaging and hyperspectral data play a role. Impact Of Talc Mining -

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COAL AND OPEN-PIT SURFACE MINING - NASA

2017-11-2  the San Juan Coal Mine in Waterflow, New Mexico Three-dimensional visualization of hyperspectral imagery displaying spectral bands Mineral-classified image showing land surface types surrounding a coal facility in Craig, Colorado. Distribution of coal mining waste classifications along streams and water bodies.

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Hyperspectral analysis of soil organic matter in coal ...

2021-7-28  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 ...

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Close-range, ground-based hyperspectral imaging for mining ...

Detailed mapping of mineral phases at centimeter scale can be useful for geological investigation, including resource exploration. This work reviews case histories of ground-based close-range hyperspectral imaging for mining applications. Studies of various economic deposits are discussed, as well as techniques used for data correction, integration with other datasets, and validation of ...

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Automated Hyperspectral Core Imaging – A

2018-4-13  Exploration, Mining and Research . ... hyperspectral imager on the EO-1 satellite in 2000 (Folkman et al., 2001). Hyperspectral Imaging Earth hyperspectral imagers (or imaging spectrometers) identify and spatially map terrestrial materials (rocks, vegetation and

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An Unsupervised Classification Method for Hyperspectral ...

2012-9-12  Hyperspectral Remote Sensing Image Based on Spectral Data Mining 145 3. Remote sensing data The image investigated in this chapter was obtained by Hyperion sensor boarded on EO-1 satellite in November 11, 2004, and it covers the 0.4 to 2.5 micrometer spectral range with

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Specim, a global leader in hyperspectral ... - MINING.COM

2015-9-8  The company, which was founded in 1995 by three former researchers of VTT Technical Research Centre of Finland Ltd, is a global forerunner in hyperspectral technology. The

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文志杰-山东科技大学能源与矿业工程学院 - sdust.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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Histopathology Feature Mining and Association with ...

2019-11-28  Hyperspectral imaging (HSI) is a noninvasive optical modality that holds promise for early detection of tongue lesions. Spectral signatures generated by HSI contain important diagnostic ...

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hyperspectral-image-classification GitHub Topics GitHub

2020-11-27  Star 124. Code Issues Pull requests. 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.

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Hyperspectral Imaging for Ore Distinction

2021-5-31  Hyperspectral Imaging for Ore Distinction Case study for iron and nickel ore samples . Metals like iron, copper and gold, as well as resources like coal and limestone are commonly extracted using the open-pit mining method. The planning of the extraction is divided into long-term, short-term, day-to-day and shift-to-shift planning.

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hyperspectral analysis Archives - International Mining

2021-8-5  The team behind the technology, in addition to mining engineer Job, include Dr Richard Murphy, one of the world’s leading experts in hyperspectral geology, and Dr Michael Edgar, an experienced physicist and expert in optical sensors with experience spanning NASA and CalTech.

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Histopathology Feature Mining and Association with ...

Hyperspectral imaging (HSI) is a noninvasive optical modality that holds promise for early detection of tongue lesions. Spectral signatures generated by HSI contain important diagnostic information that can be used to predict the disease status of the examined biological tissue. However, the underly

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