ENVI's Latest Algorithms for Hyperspectral Remote Sensing

要旨

ENVI software is a solution for visualizing, analyzing and presenting all types of digital imagery. ENVI, developed by RSI in Boulder, Colorado, was created to address the unique needs of data analysts regularly using satellite and aircraft remotely sensed data, particularly those with hyperspectral datasets. ENVI provides comprehensive data visualization and analysis for images of any size and any type in an innovative and user-friendly environment. ENVI has a number of built in tools and wizards to help process and analyze hyperspectral data. ENVI's approach to hyperspectral processing over the last ten years has been based on the "hourglass process"- a method used to find and map image spectral endmembers. The hourglass processing flow uses the spectrally over-determined nature of hyperspectral data to find the most spectrally pure (or spectrally unique) pixels (endmembers) within the dataset and map their locations and sub-pixel abundances. Recognizing the need for faster and more application-specific methods to get useful information from datasets, ENVI has recently introduced several new algorithms that will be discussed in this paper. This new functionality includes: ENVI Sequential Maximum Angle Convex Cone (SMACC) -- a spectral tool used for endmember extraction, the ENVI SAM (Spectral Angle Mapper) Target Finder with BandMax wizard, and the ENVI Vegetation Analysis Tools -- used to analyze vegetation-related phenomena.