Improving the Performance of a Hybrid Classification Method Using a Parallel Algorithm and a Novel Data Reduction Technique

Improving the Performance of a Hybrid Classification Method Using a Parallel Algorithm and a Novel Data Reduction Technique

This thesis presents both a shared memory parallel version of the hybrid classification algorithm IGSCR (iterative guided spectral class rejection) and a novel data reduction technique that can be used in conjuction with pIGSCR (parallel IGSCR). The parallel algorithm is motivated by a demonstrated...

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Bibliographic Details
Main Author: Phillips, Rhonda D.
Other Authors: Computer Science
Format: Others
Published: Virginia Tech 2014
Subjects:
Landsat
singular value decomposition
feature reduction
classification
data reduction
Online Access:http://hdl.handle.net/10919/42680
http://scholar.lib.vt.edu/theses/available/etd-05162007-114856/

Internet

http://hdl.handle.net/10919/42680
http://scholar.lib.vt.edu/theses/available/etd-05162007-114856/

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