Spectral-Feature-Based Analysis of Reflectance and Emission Spectral Libraries and Imaging Spectrometer Data
Kruse, Fred A.
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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.
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Kruse, Fred A.; Fairbarn, K.G. (SPIE, 2013);Common approaches to multispectral imagery (MSI) and hyperspectral imagery (HSI) data analysis often utilize key image endmember spectra as proxies for ground measurements to classify imagery based on their spectral ...
Integrated visible and near-infrared, shortwave infrared, and longwave infrared full-range hyperspectral data analysis for geologic mapping Kruse, Fred A. (2015);Airborne visible/infrared imaging spectrometer (AVIRIS) and spatially coincident hyperspectral thermal emission spectrometer (HyTES) data were used to map geology and alteration for a site in northern Death Valley, ...
Analysis of Imaging Spectrometer Data Using N-Dimensional Geometry and a Mixture-Tuned Matching Filtering Approach Boardman, Joseph W.; Kruse, Fred A. (2011-11);Imaging spectrometers collect unique data sets that are simultaneously a stack of spectral images and a spectrum for each image pixel. While these data can be analyzed using approaches designed for multispectral images, ...