Title :
Frame based kernel methods for automatic classification in hyperspectral data
Author :
Benedetto, John J. ; Czaja, Wojciech ; Flake, Justin C. ; Hirn, Matthew
Author_Institution :
Dept. of Math., Univ. of Maryland, College Park, MD, USA
Abstract :
We propose a new kernel and frame based dimension reducing algorithm by exploiting the synergy between endmembers and kernel based classification schemes. This synergy becomes available by means of utilizing the notions of frames and frame representations.
Keywords :
geophysical techniques; dimension reducing algorithm; endmembers; frame representations; hyperspectral data; kernel methods; Data mining; Educational institutions; Hyperspectral imaging; Image processing; Kernel; Machine learning; Machine learning algorithms; Manifolds; Mathematics; Principal component analysis;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5417472
