Existential uncertainty of spatial objects segmented from satellite sensor imagery

A. Lucieer, A. Stein

Research output: Contribution to journalArticleAcademicpeer-review

59 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 languageEnglish
Pages (from-to)2518-2521
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume40
Issue number1
DOIs
Publication statusPublished - 2002

    Fingerprint

Keywords

  • classification

Cite this