Existential uncertainty of spatial objects segmented from satellite sensor Imagery
journal contributionposted on 2023-05-16, 16:23 authored by Arko LucieerArko Lucieer, Stein, A
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.
Publication titleIEEE Transactions on Geoscience and Remote Sensing
Department/SchoolSchool of Geography, Planning and Spatial Sciences
PublisherInstitute of Electrical and Electronics Engineers
Place of publicationUnted States