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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) |
| UTAS Author: | Lucieer, A (Associate Professor Arko Lucieer) |
| ID Code: | 33370 |
| Year Published: | 2002 |
| Web of Science® Times Cited: | 55 |
| Deposited By: | Geography and Environmental Studies |
| Deposited On: | 2005-07-13 |
| Last Modified: | 2011-02-22 |
| Downloads: | 0 |
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