Evaluation of AVIRIS-NG hyperspectral images for mineral identification and mapping

Tripathi, Mahesh Kumar; Govil, Himanshu

doi:10.1016/j.heliyon.2019.e02931

Cited by 54 publications

(23 citation statements)

References 26 publications

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“…The spectral information also facilitates the detection of target in varies degrees of camouflage [45]. Also, in mineral mapping, the spectral information enables identification of various mineral materials from the airborne hyperspectral images [5][6][7].…”

Section: Environment Monitoringmentioning

confidence: 99%

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Spectral imaging and spectral LIDAR systems: moving toward compact nanophotonics-based sensing

Wang

et al. 2021

Nanophotonics

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With the emerging trend of big data and internet-of-things, sensors with compact size, low cost and robust performance are highly desirable. Spectral imaging and spectral LIDAR systems enable measurement of spectral and 3D information of the ambient environment. These systems have been widely applied in different areas including environmental monitoring, autonomous driving, biomedical imaging, biometric identification, archaeology and art conservation. In this review, modern applications of state-of-the-art spectral imaging and spectral LIDAR systems in the past decade have been summarized and presented. Furthermore, the progress in the development of compact spectral imaging and LIDAR sensing systems has also been reviewed. These systems are based on the nanophotonics technology. The most updated research works on subwavelength scale nanostructure-based functional devices for spectral imaging and optical frequency comb-based LIDAR sensing works have been reviewed. These compact systems will drive the translation of spectral imaging and LIDAR sensing from table-top toward portable solutions for consumer electronics applications. In addition, the future perspectives on nanophotonics-based spectral imaging and LIDAR sensing are also presented.

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Section: Environment Monitoringmentioning

confidence: 99%

“…The spectral imaging technology, which is able to obtain both spatial and spectral information, was originally applied in Earth remote sensing [3]. Currently, it has been widely utilized in remote and indoor sensing, covering from Earth observation, geo-information study [4][5][6][7] to optical sorting and pharmaceutical analysis [8,9].…”

Section: Introductionmentioning

confidence: 99%

Spectral imaging and spectral LIDAR systems: moving toward compact nanophotonics-based sensing

Wang

et al. 2021

Nanophotonics

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“…In this research work AVIRIS-NG was used for identification hydrothermally altered mineral zone in Bhilwara district of Jahajpur, Rajasthan. The spectral angle Mapper (SAM) and SFF techniques were used for the mapping of the minerals Clay group (montmorillonite, kaosmec, talc) and goethite leading to zones of profitable mineral deposits (Mahesh Kumar Tripathi, 2019).…”

Section: Literature Surveymentioning

confidence: 99%

Mineral Mapping at Lonar Crater Using Remote Sensing

Gore¹,

Mishra²,

Deshmukh³

2020

JSR

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Remote is the advanced technology used for various applications in mineral mapping, mineral identification, lithological discrimination and structural mapping etc. Lonar crater is a wellknown impact crater in basaltic crust of rocks. With Hyperion satellite imagery, it is possible to analyze the Lonar crater remotely and comment on the mineralogy associated with it. The various geological, geochemical, mineralogical characterization studies has been done on crater-cum-lake till today but the remote sensing is not used prominently indicating some fruitful results. So the present study focuses on the use of hyperspectral images for mineral mapping and identification near and at the Lonar crater. The preprocessing techniques like bad band removal, destriping, radiometric correction and atmospheric corrections were applied. Then noise removal and dimensionality reduction was performed using modified PCA known as minimum noise fraction. Then the classification techniques Spectral Feature Fitting and Spectral Correlation Mapper were applied on the significant endmembers obtained after Pixel Purity Index and n-D Visualizer. The spectral signatures obtained were compared with USGS standard spectral library. The Alunite mineral was successfully mapped and identified with 88%, 89% and 90% at the different wavelengths at the Lonar Crater.

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“…The advent of hyperspectral imagery, such as Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) made a signi cant mineral mapping breakthrough. The MTMF, Spectral Feature Fitting (SFF), SAM, and Spectral Information Divergence (SID) applied to AVIRIS-NG and Hyperion successfully maps hydrothermal alteration minerals [18][19][20] . A wide range of mineral types ranging from copper-gold mineralization, chromite occurrences, ma c-ultrama c rocks, hydrothermal alteration minerals, beach minerals were successfully demarcated using remote sensing data and techniques.…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing Exploration of Fullerene Bearing Shungite in Mangampet Baryte Mines, India

Rejith

Sundararajan

Gnanappazham

et al. 2021

Preprint

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The fullerene (C60) is economically significant due to its significant applications in diverse areas like nanochemistry, superconductivity, materials science, etc. The carbon allotrope fullerene C60 and C70 are identified within the thick sequence of black carbonaceous units belonging to the shungite suite of rock at the baryte mine, Mangampet, Andhra Pradesh. Since this is the first of its kind from India's geological material, the exploration of fullerenes enriched barytes from the mines at Mangampet in the Kadapa district is essential. In the present study, remote sensing techniques such as hyperspectral analysis followed by Mixture Tuned Matched Filtering (MTMF) and Support Vector Machine (SVM), and Principal Component Analysis (PCA) were used for exploring the presence of fullerene bearing baryte deposits in the Mangampet mine. The spectra measured for baryte samples were used as reference spectra for deriving true endmember from Landsat OLI and ASTER satellite data. The detailed characterisation of structure and chemistry of the baryte samples were carried out using techniques like Energy Dispersive X-ray Fluorescence (EDXRF), X-ray Powder Diffraction (XRD), X-ray Photoelectron Spectroscopy (XPS), and Fourier-Transform Infrared Spectroscopy (FTIR) techniques. The High-Performance Liquid Chromatography (HPLC) and Matrix-Assisted Laser Desorption/Ionization (MALDI) mass spectrometry analyses confirm fullerene presence in baryte deposits. The retention time at 11.783–11.822 min obtained from HPLC and high-intensity rate m/z at 720.178 obtained from MALDI spectra suggest fullerene in baryte mine deposits. The remote sensing exploration of fullerene bearing shungite suite of rocks in baryte mineral deposits of Mangampet mine has opened up new research areas for converting this material into value-added products.

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Evaluation of AVIRIS-NG hyperspectral images for mineral identification and mapping

Cited by 54 publications

References 26 publications

Spectral imaging and spectral LIDAR systems: moving toward compact nanophotonics-based sensing

Spectral imaging and spectral LIDAR systems: moving toward compact nanophotonics-based sensing

Mineral Mapping at Lonar Crater Using Remote Sensing

Remote Sensing Exploration of Fullerene Bearing Shungite in Mangampet Baryte Mines, India

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