Title :
Existential uncertainty of spatial objects segmented from satellite sensor imagery
Author :
Lucieer, Arko ; Stein, Alfred
Author_Institution :
Int. Inst. for Geo-Inf. Sci. & Earth Obs., Enschede, Netherlands
fDate :
11/1/2002 12:00:00 AM
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.
Keywords :
image segmentation; remote sensing; existential uncertainty; image segmentation technique; merging threshold; satellite sensor imagery; segmentation steps; spatial objects; splitting threshold; visualization; Covariance matrix; Data visualization; Image processing; Image segmentation; Image sensors; Merging; Pixel; Satellites; Testing; Uncertainty;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2002.805072
