Spectral-Feature-Based Analysis of Reflectance and Emission Spectral Libraries and Imaging Spectrometer Data
Abstract
This research demonstrates the application of spectral-feature-based analysis to identifying and mapping Earth-surface
materials using spectral libraries and imaging spectrometer data. Feature extraction utilizing a continuum-removal and
local minimum detection approach was tested for analysis of both reflectance and emissivity spectral libraries by
extracting and characterizing spectral features of rocks, soils, minerals, and man-made materials. Library-derived
information was then used to illustrate both reflectance- and emissivity-feature-based spectral mapping using imaging
spectrometer data (AVIRIS and SEBASS). An additional spectral library of emission spectra from selected nocturnal
lighting types was used to develop a database of key spectral features that allowed mapping and characterization of night
lights from ProSpecTIR-VS imaging spectrometer data. Results from these case histories demonstrate that the spectralfeature-
based approach can be used with either reflectance or emission spectra and applied to a wide variety of imaging
spectrometer data types for extraction of key surface composition information.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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