hyperspectral for coal mining

  • A 91Channel Hyperspectral LiDAR for Coal/Rock

    912· A 91Channel Hyperspectral LiDAR for Coal/Rock Classification Abstract: 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.Hyperspectralbased Inversion of Heavy Metal Content in ,Hyperspectral PLSR modeling can effectively predict heavy metal content of soils in coalmining areas, and preprocessing spectral data is crucial for achieving high prediction

  • Use of hyperspectral imagery to detect affected vegetation and

    In order to get the threshold, aerial hyperspectral images were obtained. The spatial patterns of six soil heavy metals (Cu, Zn, As, Sn, Cr and Cd) were obtained by Hyperspectral analysis of soil organic matter in coal ,117· Hyperspectral analysis of soil organic matter in coal mining regions using wavelets, correlations, and partial least squares regression Lixin Lin, Yunjia Wang, Jiyao

  • Hyperspectral measurement technique based rapid

    121· Hyperspectral technology has a striking ability to detect the quality of materials, and consequently, research on coal quality using this technique has increased Hyperspectral imaging system grades ore quality at ,46· Hyperspectral imaging system grades ore quality at coal and gold mines April 6, After comparing the ground truth data to the ore grading results determined by a CNN’s analysis of hyperspectral

  • Spectroscopy and Hyperspectral Imaging of Critical

    930· This project proposes to increase our understanding of the spectral indicators of critical minerals using labbased studies of hand specimens and drill core, Hunting new mining deposits with hyperspectral imaging,It was originally developed for spacebased imaging, [1] and has also found use in document and painting analysis. Multispectral imaging measures light in a small number (typically 3 to 15) of spectral bands. Hyperspectral

  • Use of hyperspectral imagery to detect affected

    1116· Use of hyperspectral imagery to detect affected vegetation and heavy metal polluted areas: a coal mining area, China November Authors: Xingchen Hyperspectral analysis of soil organic matter in coal ,Hyperspectral analysis of soil organic matter in coal mining regions using wavelets, correlations, and partial least squares regression Authors Lixin Lin 1 2 3,Yunjia Wang 4

  • A 91Channel Hyperspectral LiDAR for Coal/Rock Classification

    912· A 91Channel Hyperspectral LiDAR for Coal/Rock Classification Abstract: During the mining operation, it is a critical task in coal mines to significantly improve the safety by precision coal mining sorting and Use of hyperspectral imagery to detect affected vegetation and heavy,In order to get the threshold, aerial hyperspectral images were obtained. The spatial patterns of six soil heavy metals (Cu, Zn, As, Sn, Cr and Cd) were obtained by establishing random forest inversion models. The normalized difference vegetation index (NDVI) under different soil heavy metal concentrations was analysed.

  • Application of hyperspectral remote sensing for supplementary

    111· But after decades of mining, it was ranked as a resourceexhausted mine mine. A few years ago, researchers 18,38 conducted hyperspectral remote sensing research in the Huaniushan polymetallic ore.A 91Channel Hyperspectral LiDAR for Coal/Rock Classification,92· In this letter, a novel instrument, a 91channel hyperspectral LiDAR (HSL) using an acoustooptic tunable filter (AOTF) as spectroscopic device is designed, which operates based on wide spectrum.

  • Use of hyperspectral imagery to detect affected ResearchGate

    1116· Use of hyperspectral imagery to detect affected vegetation and heavy metal polluted areas: a coal mining area, China November Authors: Xingchen Yang Shaogang Lei China University of.Hunting new mining deposits with hyperspectral ,It was originally developed for spacebased imaging, [1] and has also found use in document and painting analysis. Multispectral imaging measures light in a small number (typically 3 to 15) of spectral bands. Hyperspectral

  • Hyperspectral Imaging U.S. Geological Survey

    930· Hyperspectral Imaging of Mineral Resources from New and Old Origins: Minerals for the Nation’s Economy and Utilization of Legacy Mine Lands This project will produce maps of surface mineralogy at 15 m spatial resolution covering the largest contiguous area of hyperspectral imagery that has ever been assembled for the U.S., Hyperspectral analysis of soil organic matter in coal mining ,Hyperspectral estimation of soil organic matter (SOM) in coal mining regions is an important tool for enhancing fertilization in soil restoration programs. The correlationpartial least squares regression (PLSR) method effectively solves the information loss problem of correlationmultiple linear stepwise regression, but results of the

  • Hyperspectralbased Inversion of Heavy Metal Content in the Soil

    2023426· 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 coalmining area in the city of Zoucheng, Shandong Province, China.CNN coal and rock recognition method based on hyperspectral ,831· Aiming at the problem of coal gangue identification in the current fully mechanized mining face and coal washing, this article proposed a convolution neural network (CNN) coal and rock identification method based on hyperspectral data. First, coal and rock spectrum data were collected by a nearinfrared spectrometer, and then four

  • Hyperspectral imagery reveals large spatial variations of heavy

    1220· The intensive urban expansion in Mianzhu city and the mining of coal and phosphorite in the upstream areas resulted in a significant accumulation of heavy metals in local soils. The experimental site was selected at the Mianzhu city of Sichuan, China, major cropland for rapeseed, spanning from 103°54′E 30°09′N to 104°20′E, 30°09′31Hyperspectral‐based Inversion of Heavy Metal Content in the ,11· 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 coalmining area in the city of Zoucheng, Shandong Province, China.

  • Hyperspectral inversion of heavy metal content in ScienceDirect

    315· Hyperspectral detection methods now have high precision and this technology provides a new approach to soil testing. Many studies have been conducted on hyperspectral soil detection techniques [ [2], [3], [4], [5], [6] ], but heavy metal detection in reclaimed mining soil is rare.Dronebased surveys of mineral deposits Nature,317· The hyperspectral and magnetic data collected by the drones can be used alongside highresolution truecolour cameras or laserscanning sensors to place mineral deposits into a 3D geographical.

  • A 91Channel Hyperspectral LiDAR for Coal/Rock Classification

    912· A 91Channel Hyperspectral LiDAR for Coal/Rock Classification Abstract: During the mining operation, it is a critical task in coal mines to significantly improve the safety by precision coal mining sorting and CNN coal and rock recognition method based on hyperspectral ,831· First, coal and rock spectrum data were collected by a nearinfrared spectrometer, and then four methods were used to filter 120 sets of collected data: firstorder differential (FD), secondorder differential (SD), standard normal variable transformation (SNV), and multistyle smoothing.

  • Hyperspectral imagery reveals large spatial variations of heavy

    1220· The intensive urban expansion in Mianzhu city and the mining of coal and phosphorite in the upstream areas resulted in a significant accumulation of heavy metals in local soils. The experimental site was selected at the Mianzhu city of Sichuan, China, major cropland for rapeseed, spanning from 103°54′E 30°09′N to 104°20′E, 30°09′31Application of hyperspectral remote sensing for supplementary ,111· But after decades of mining, it was ranked as a resourceexhausted mine mine. A few years ago, researchers 18,38 conducted hyperspectral remote sensing research in the Huaniushan polymetallic ore.

  • Use of hyperspectral imagery to detect affected ResearchGate

    1116· Use of hyperspectral imagery to detect affected vegetation and heavy metal polluted areas: a coal mining area, China November Authors: Xingchen Yang Shaogang Lei China University of.A 91Channel Hyperspectral LiDAR for Coal/Rock Classification,92· In this letter, a novel instrument, a 91channel hyperspectral LiDAR (HSL) using an acoustooptic tunable filter (AOTF) as spectroscopic device is designed, which operates based on wide spectrum.

  • Hyperspectral Imaging U.S. Geological Survey

    930· Hyperspectral Imaging of Mineral Resources from New and Old Origins: Minerals for the Nation’s Economy and Utilization of Legacy Mine Lands This project will produce maps of surface mineralogy at 15 m spatial resolution covering the largest contiguous area of hyperspectral imagery that has ever been assembled for the U.S., Hyperspectral analysis of soil organic matter in coal mining ,Hyperspectral estimation of soil organic matter (SOM) in coal mining regions is an important tool for enhancing fertilization in soil restoration programs. The correlationpartial least squares regression (PLSR) method effectively solves the information loss problem of correlationmultiple linear stepwise regression, but results of the

  • Rock analysis equipment and services for modern mining Hyperspectral

    The hyperspectral data from the geoLOGr are processed using a cloudconnected data processing infrastructure. Our highlycustomized and depositspecific data processing enables us to produce results of unprecedented sensitivity and accuracy that can be easily integrated in existing workflows. Read MoreHyperspectralbased Inversion of Heavy Metal Content in the Soil ,2023426· 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 coalmining area in the city of Zoucheng, Shandong Province, China.

  • Hyperspectral‐based Inversion of Heavy Metal Content in the

    11· 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 coalmining area in the city of Zoucheng, Shandong Province, China.Estimation of Heavy Metals in Tailings and Soils Using Hyperspectral ,79· 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 multimedia environments (tailings, surrounding soils and agricultural soils) in a mining area. The correlation between hyperspectral data and HMs was explored, then

  • Retrieving zinc concentrations in topsoil with reflectance

    The current study supplied a scientic scheme and theoretical support for predicting heavy metals concentrations via the Vis–NIR spectral method in possible contaminated areas such as coal mines.Using hyperspectral indices to measure the effect of mine dust ,To examine the influence of coal dust from mining on vegetative growth, three typical plants from near an openpit coalmine in an arid region were selected, and their spectral signals were determined. Using hyperspectral indices to measure the effect of mine dust on the growth of three typical desert plants Guang Pu Xue Yu Guang Pu Fen Xi