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Optimal field sampling for targeting minerals using hyperspectral data

โœ Scribed by P. Debba; F.J.A. van Ruitenbeek; F.D. van der Meer; E.J.M. Carranza; A. Stein

Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
714 KB
Volume
99
Category
Article
ISSN
0034-4257

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Optimal field sampling for targeting min
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โœ P. Debba; F.J.A. van Ruitenbeek; F.D. van der Meer; E.J.M. Carranza; A. Stein ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 714 KB

This paper presents a statistical method for deriving optimal spatial sampling schemes. It focuses on ground verification of minerals derived from hyperspectral data. Spectral angle mapper (SAM) and spectral feature fitting (SFF) classification techniques were applied to obtain rule mineral images.

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