Classification Of Remotely Sensed Data By Using 2d Local Discriminant Bases

Classification Of Remotely Sensed Data By Using 2d Local Discriminant Bases

In this thesis, 2D Local Discriminant Bases (LDB) algorithm is used to 2D search structure to classify remotely sensed data. 2D Linear Discriminant Analysis (LDA) method is converted into an M-ary classifier by combining majority voting principle and linear distance parameters. The feature extractio...

Full description

Bibliographic Details
Main Author: Tekinay, Cagri
Other Authors: Yardimci Cetin, Yasemin
Format: Others
Language:Eng
Published: METU 2009
Subjects:
QA General 15707
Remote Sensing Local Discriminant Bases Linear Discriminant Analysis Hyperspectral Imaging M-ary Classification
Online Access:http://etd.lib.metu.edu.tr/upload/3/12610782/index.pdf

Internet

http://etd.lib.metu.edu.tr/upload/3/12610782/index.pdf

Similar Items