Existential uncertainty of spatial objects segmented from satellite sensor imagery

A. Lucieer; A. Stein

doi:10.1109/TGRS.2002.805072

Existential uncertainty of spatial objects segmented from satellite sensor imagery

A. Lucieer, A. Stein

Research output: Contribution to journal › Article › Academic › peer-review

85 Citations (Scopus)

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

Original language	English
Pages (from-to)	2518-2521
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	40
Issue number	1
DOIs	https://doi.org/10.1109/TGRS.2002.805072
Publication status	Published - 2002

Keywords

classification

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DO - 10.1109/TGRS.2002.805072

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Existential uncertainty of spatial objects segmented from satellite sensor imagery

Abstract

Keywords

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