Quantitative determination of mineral types and abundances from reflectance spectra using principal components analysis

Details Quantitative determination of mineral types and abundances from reflectance spectra using principal components analysis Quantitative determination of mineral types and abundances from reflectance spectra using principal components analysis

Feb 1985

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1985lpsc...15..797s&link_type=abstract

(Lunar and Planetary Institute, NASA, American Geophysical Union, et al., Lunar and Planetary Science Conference, 15th, Houston,

Physics

16

Abundance, Minerals, Planetary Composition, Planetary Surfaces, Principal Components Analysis, Covariance, Eigenvalues, Eigenvectors, Enstatite, Olivine, Particle Size Distribution, Quantitative Analysis, Spectral Reflectance, Planets, Minerals, Remote Sensing, Abundance, Reflectance, Spectra, Techniques, Analysis, Parameters, Particles, Size, Classification

Scientific paper

A procedure was developed for analyzing remote reflectance spectra, including multispectral images, that quantifies parameters such as types of mineral mixtures, the abundances of mixed minerals, and particle sizes. Principal components analysis reduced the spectral dimensionality and allowed testing the uniqueness and validity of spectral mixing models. By analyzing variations in the overall spectral reflectance curves, the type of spectral mixture was identified, mineral abundances quantified and the effects of particle size identified. The results demonstrate an advantage in classification accuracy over classical forms of analysis that ignore effects of particle-size or mineral-mixture systematics on spectra. The approach is applicable to remote sensing data of planetary surfaces for quantitative determinations of mineral abundances.

Affiliated with

Also associated with

No associations

Rating

Quantitative determination of mineral types and abundances from reflectance spectra using principal components analysis does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Quantitative determination of mineral types and abundances from reflectance spectra using principal components analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Quantitative determination of mineral types and abundances from reflectance spectra using principal components analysis will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1593494