Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems

By R. Clark, G. Swayze, K. Livo, R. Kokaly, S. J. Sutley, J. B. Dalton, Robert R. McDougal, C. Gent. 2003

848 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Global and Planetary Change, Media Technology

View Paper: https://www.semanticscholar.org/paper/284cdfef6ed51904ec840077a2f2710e635f78fe

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Citations in the corpus

Earth system science related imaging spectroscopy — an assessment (2009, neutral): “Further, morphological approaches for joint exploitation of the spatial and spectral information available in the input data have been recently explored (Clark et al., 2003; Dell'Acqua et al., 2004; Plaza et al., 2005; Soille, 2003).”
Toward Reliable Off Road Autonomous Vehicles Operating in Challenging Environments (2006, background): “The absorption properties of chlorophyll (Willstatter and Stoll 1913; Clark et al. 2003), for example, have been exploited elsewhere for a long time.”
Collaborative Sparse Regression for Hyperspectral Unmixing (2014, methodology): “4 shows a mineral map produced in 1995 by USGS, in which the Tricorder 3.3 software product [47] was used to map different minerals present in the Cuprite mining district.”
Remote sensing of native and invasive species in Hawaiian forests (2008, background): “…absorption features are often overlapping, and are affected by more than one biochemical constituent; and (iii) spectral features are often subtle, and cannot easily be captured using band-by-band analyses (e.g., vegetation indices) or single feature-based spectral analyses (Clark et al., 2003).”
Characterization of phyllosilicates observed in the central Mawrth Vallis region, Mars, their potential formational processes, and implications for past climate (2009, background): “Thus broad, iron-related absorption features and sharp vibrational absorption features are often treated separately in VNIR spectral analysis [ Clark et al., 2003 ].”
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing (2018, methodology): “The first row represents the reference classification maps generated by Tetracorder software [45].”
Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing (2012, methodology): “8 shows a mineral map produced in 1995 by USGS, in which the Tricorder 3.3 software product [69] was used to map different minerals present in the Cuprite mining district 6 .”
Nonlinear unmixing of hyperspectral images using a generalized bilinear model (2011, background): “The geologic characteristics of this area, dominated by muscovite, alunite, and cuprite, have been investigated in [46], [47].”
Optimal field sampling for targeting minerals using hyperspectral data (2005, background): “Further details on SFF can be found in (Clark et al., 1991, 1992; Clark & Swayze, 1995; Clark et al., 2003).”