DocumentCode
513060
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
Volume
4
fYear
2009
fDate
12-17 July 2009
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IGARSS.2009.5417472
Filename
5417472
Link To Document