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

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Comparison of AVIRIS and Hyperion for Hyperspectral Mineral Mapping

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Hyperspectral images can be efficiently compressed through a linear predictive model, as for example the one used in the SLSQ algorithm. In this paper we exploit this predictive model on the AVIRIS images by individuating, through an off-line approach, a common subset of bands, which are not spectrally related with any other bands. These bands are not useful as prediction reference for the SLSQ...

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Mineral Mapping with AVIRIS and EO-1 Hyperion

1.0 Introduction Imaging Spectrometry data or Hyperspectral Imagery (HSI) acquired using airborne systems have been used in the geologic community since the early 1980’s and represent a mature technology (Goetz et al., 1985; Kruse et al., 1999). The solar spectral range, 0.4 to 2.5 μm, provides abundant information about many important Earth-surface minerals (Clark et al., 1990). In particular,...

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ژورنال

عنوان ژورنال: Heliyon

سال: 2019

ISSN: 2405-8440

DOI: 10.1016/j.heliyon.2019.e02931