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-shapes for visualizing irregular shaped class clusters in 3D feature space for classification of remotely sensed imagery

Citation

Lucieer, A and Kraak, MJ, a-shapes for visualizing irregular shaped class clusters in 3D feature space for classification of remotely sensed imagery, Visualization and Data Analysis 2004, January 19-10, 2004, San Jose, California, pp. 201-211. ISBN 0-8194-5198-3 (2004) [Refereed Conference Paper]

Item Details

Item Type:Refereed Conference Paper
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Application software packages
UTAS Author:Lucieer, A (Professor Arko Lucieer)
ID Code:33588
Year Published:2004
Deposited By:Geography and Environmental Studies
Deposited On:2005-07-14
Last Modified:2010-06-03
Downloads:0

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