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Existential uncertainty of spatial objects segmented from satellite sensor Imagery

Citation

Lucieer, A and Stein, A, Existential uncertainty of spatial objects segmented from satellite sensor Imagery, IEEE Transactions on Geoscience and Remote Sensing, 40, (11) pp. 2518-2521. ISSN 0196-2892 (2002) [Refereed Article]

DOI: doi:10.1109/TGRS.2002.805072

Abstract

This research addresses existential uncertainty of spatial objects derived from satellite sensor imagery. An image segmentation technique is applied at various values of splitting and merging thresholds. We test the hypothesis that objects occurring at many segmentation steps have less existential uncertainty than those occurring at only a few steps.

Item Details

Item Type:Refereed Article
Research Division:Engineering
Research Group:Geomatic Engineering
Research Field:Photogrammetry and Remote Sensing
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Application Software Packages (excl. Computer Games)
Author:Lucieer, A (Associate Professor Arko Lucieer)
ID Code:33370
Year Published:2002
Web of Science® Times Cited:42
Deposited By:Geography and Environmental Studies
Deposited On:2005-07-13
Last Modified:2011-02-22
Downloads:0

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