Novel projection pursuit indices for feature extraction and classification: An inter-comparison in a remote sensing application

Projection Pursuit [7] [10] (PP) techniques are used to search for statistically interesting low-dimensional projections of complex, high-dimensional data. These projections reveal data structure useful for automatic classification applications. We derive a novel class of Projection Pursuit algorithms, comparing them with related PP algorithms [7] [8] [11] [2] [1]. Texture-based cloud detection in Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) imagery from the Jet Propulsion Laboratory is provided as a basis for inter-comparison.