2019-11-1 · Imaging spectroscopy, also referred to as hyperspectral sensing, has grown rapidly over the last three decades (Goetz, 2009; Gupta, 2018).This entails acquisition of images in hundreds of continuous spectral bands, allowing for the construction of a spectral curve for each image pixel ().Spectral absorptions of materials make it possible to identify them based on their spectral response, …
hyperspectral for coal mining
1. A 91-Channel Hyperspectral LiDAR for. Coal/Rock Classiﬁcation. Hui Shao, Yuwei Chen, Zhirong Yang, Changhui Jiang,WeiLi, Haohao Wu, Zhijie Wen, Shaowei W …
2021-7-2 · Zhang P, Mao S. Design and Practices on Coal Reserves Management and Information System Based on GIS [J]. Coal Science and Technology, 2009, (07):101-103. Xia S, Mao S, Xiong W, Hou L. Coal Mine Production Remote Management System Based on ComGIS and WebGIS [J]. Coal Science and Technology, 2010, (01):85-87.
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:
2021-9-4 · 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、,,,,. . 2
2016-5-9 · "Hyperspectral Analysis for Exploration" Speakers: Scott Halley (Mineral Mapping Pty, Ltd) – Mineralogy Maps from SWIR data; what works, what doesn''t work. Carsten Laukamp (CSIRO) – Scrutinizing regional to camp-scale mapping of mineral footprints related to hydrothermal ore deposits using remote and proximal sensing data
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 …
2020-11-16 · 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, ...
ALS offers TerraSpec® 4 HR scans on dry, coarse crushed rock and drill core. This is an ideal sample fraction for hyperspectral analysis, because it has been thoroughly dried and homogenized by crushing. You receive the original ASD files as well as the aiSIRIS™ output on every geochemical sample for one-to-one comparison.
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 ...
9、Chengye Zhang, Qiming Qin, Li Chen et al. Hyperspectral remote sensing for coal-bed methane exploration. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014: 262-265. ( …
2021-4-6 · Hyperspectral imaging system grades ore quality at coal and gold mines. April 6, 2021. The OreSense system contributes to the development of automated mining technology. Dennis Scimeca.
Mining & Energy | Hyperspectral Intelligence
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 ...
Real-time shovel-mounted coal or ore sensing. Characterising ores in-pit and in real-time presents a significant value opportunity for the mining industry. Hyperspectral imaging systems are proposed as an enabling technology to achieve this real-time characterisation. This paper considers the application of a hyperspectral imaging spectrometer ...
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 ...
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.
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.
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 ...
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 ...
2020-11-30 · A 91-Channel Hyperspectral LiDAR for Coal/Rock Classification[J],IEEE Geoscience and Remote Sensing Letters,2019,1-5.  ... Overlying strata structural modeling and support applicability analysis for large mining-height stopes[J], Journal of Loss Prevention ...
2015-3-14 · Hyperspectral remote sensing applications in mining impact analysis C. Ehrlera,*, C. Fischera, M. Bachmanna ... which can lead to the formation of acid mine drainage, include the coal and discarded material and some of the overburden materials used in the rehabilitation of open-pit operations.
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
Request PDF | Use of hyperspectral imagery to detect affected vegetation and heavy metal polluted areas: a coal mining area, China | Some indicators for evaluating heavy metal pollution have been ...
Hyperspectral imagery in mine waste management Abstract: Due to legal requirements and an increasing decline in the population in Germany every mining company is obliged to build up a monitoring system for the planning and running of the mining activities. For the one existing hard coal mining company "Deutsche Steinkohle AG" (DSK) beneath an ...
《》！.,,,,. [J].,2021,58 (1):42-54. DOI: ZHAO Mingsong,XIE Yi,LU Longmei,LI Decheng,WANG Shihang.Modeling for Soil Organic Matter Content Based on Hyperspectral Feature Indices [J].Acta ...
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