Imaging Spectrometer Data Analysis - a Tutorial

This tutorial is designed to provide an overview of selected methods for analysis of imaging spectrometer data. "Calibration" to reflectance is a prerequisite for most analysis approaches. A brief review of both empirical and model-based methods for recovery of apparent surface reflectance from the data is presented. Data analysis methods discussed include single pixel spectrum analysis, both empirical and feature based approaches to spectral classification of imaging spectrometer data, and the use of linear spectral unmixing to determine abundances of materials occurring with sub-pixel distributions.