Advanced Methods for Representing and Processing Hyperspectral Image Data
Abstract
We have extended our 3D spectral/spatial Gabor representation to consider the effects of three-dimensional scene structure in hyperspectral images. We have shown that traditional spectral/spatial models lead to ambiguities when classifying image regions due, in part, to changes that occur as the environmental conditions change. Our new models characterize the variation of vectors that are derived using spectral/spatial features as the scene conditions change. We have shown that these models improve on the properties of standard techniques. The utility of this approach has been demonstrated using thousands of hyperspectral image regions that have been generated over a broad range of conditions. We have also modeled the effect on hyperspectral image sequences of ballistic impacts. We have shown that the multiband Gabor representation allows extraction of image properties that can be used to estimate properties of the impact. We have also applied the models to human skin in near-infrared images and demonstrated the potential for tissue classification.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 05, 2012
- Accession Number
- ADA581465
Entities
People
- Glenn Healey
Organizations
- University of California, Irvine