Handling Uncertainties in Image Mining for Remote Sensing Studies
ITC International Institute for Geoinformation Science and Earth Observation, PO Box 6, 7500 AA
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Abstract. This paper presents an overview of uncertainty handling in remote sensing studies. It takes an image mining perspective and identifies ways different uncertainties. It starts with the pixel and through object identification and modeling proceeds towards monitoring and decision making. Methods presented originate both from probability and fuzzy logic based approaches.
Keywords: image mining, remote sensing, statistics
In: Wan, Y. et al. (eds) Proceeding of the 8th international symposium on spatial accuracy assessment in natural resources and environmental sciences, World Academic Union (Press).