Title :
A framework for dictionary learning based hyperspectral pixel classification
Author :
Pound, A. ; Gunther, Jacob ; Moon, Thomas ; Williams, Graham J.
Author_Institution :
Electr. & Comput. Eng. Dept., Utah State Univ., Logan, UT, USA
Abstract :
This paper explores the utility of using dictionary learning as a preprocessing stage in the data reduction of hyperspectral data for the express purpose of improving detection and classification of materials. This paper sets up the general framework, and discusses some of the preliminary research from pairing a random forest classifier with dictionary learning.
Keywords :
data reduction; dictionaries; hyperspectral imaging; image classification; learning (artificial intelligence); data reduction; dictionary learning; general framework; hyperspectral data; hyperspectral pixel classification;
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4673-5050-1
DOI :
10.1109/ACSSC.2012.6489030