Novel Pattern Recognition Techniques for Improved Target Detection in Hyperspectral Imagery

Novel Pattern Recognition Techniques for Improved Target Detection in Hyperspectral Imagery

A fundamental challenge in target detection in hyperspectral imagery is spectral variability. In target detection applications, we are provided with a pure target signature; we do not have a collection of samples that characterize the spectral variability of the target. Another problem is that the p...

Full description

Bibliographic Details
Main Author: Sakla, Wesam Adel
Other Authors: Chan, Andrew K.
Format: Others
Language:en_US
Published: 2011
Subjects:
hyperspectral imagery
target detection
support vector data description
spectral fringe-adjusted joint transform correlation
discrete wavelet transform
golden-section search algorithm
Online Access:http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7526

Internet

http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7526

Similar Items