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3 edition of Spectral analysis for automated exploration and sample acquisition found in the catalog.

Spectral analysis for automated exploration and sample acquisition

Spectral analysis for automated exploration and sample acquisition

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  • 38 Currently reading

Published by National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, National Technical Information Service, distributor in Pasadena, Calif, [Springfield, Va .
Written in English

    Subjects:
  • Spectrum analysis.,
  • Planets -- Surfaces -- Sampling.

  • Edition Notes

    StatementSusan Eberlein, Gigi Yates.
    SeriesNASA contractor report -- NASA CR-194095.
    ContributionsYates, Gigi., Jet Propulsion Laboratory (U.S.)
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL17679784M

    "Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data.


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Spectral analysis for automated exploration and sample acquisition Download PDF EPUB FB2

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A system for the automated analysis and sorting of mineral samples has been developed to assist in the concentration of heavy mineral samples in the diamond exploration process.

Automated Seizure Detection and Spectral Anal ysis of EEG Seizure Time Series 81 Figure 8: Scatter plot for normal EEG and seizures EEG (datasets [4]).

35 40 45 50 55 60 65 7 0. Hyperspectral Imaging for Food Quality Analysis and Control provides the core information about how this proven science can be practically applied for food quality assessment, including information on the equipment available and selection of the most appropriate of those instruments.

DIA analysis does not require any kind of labeling (chemical or metabolic) and, unlike in data-dependent acquisition (DDA), all the information from a sample is recorded. DIA-derived data depends on the mass range and window size selected for MS/MS analysis, while in DDA mode only a limited number of precursor ions are selected according to the Cited by: 2.

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Rapid, efficient and reproducible drillcore logging is fundamental in mineral exploration. Drillcore mapping has evolved rapidly in the recent decade, especially with the advances in hyperspectral spectral imaging.

A wide range of imaging sensors is now available, providing rapidly increasing spectral as well as spatial resolution and by: 1.

Spectral data in geological mapping Multiscale hyperspectral analysis of lithologies in the Arctic. Regional geological mapping in northern regions is time consuming and costly, primarily owing to poor accessibility Spectral analysis for automated exploration and sample acquisition book a short field season caused by snow cover.

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This study demonstrates the application of airborne hyperspectral data for the generation of accurate remote predictive geologic maps, which can be used to assist regional mapping by (1) giving detailed spatial and spectral information, (2) focusing future mapping projects, and (3) highlighting areas of economic potential.

Landsat 8 validation data sets are a valuable assessment tool for MODIS because acquisitions from the Landsat 8 and Terra satellites occur within 20 min of each other on similar near‐polar descending orbits.

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Elements associated with uranium are determined by spectral analysis of the gamma ray activities induced by the cyclic and subsequent longer irradiations.

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A, A plasma pool sample was acquired in ten re-injections on the established capillary flow DIA setup. The total identifications and the identifications with CV below 10% or 20% were calculated.

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Fast wavelet based feature extraction of spatial and spectral information from hyperspectral datacubes James F. Scholl, Eustace L. Dereniak Proc. SPIEImaging Spectrometry X, pg (15 October ); doi: / in sample preparation and instrumental performance to achieve images at high spatial resolution.

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