1 Multivariate Texture-based Segmentation of Remotely Sensed Imagery for Extraction of Objects and Their Uncertainty Arko Lucieer*, Alfred Stein* & Peter Fisher** * International Institute for Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science, P.O. Box 6, 7500 AA Enschede, the Netherlands Telephone: +31 (0)53 4874358, Fax: +31 (0)53 4874335 arko@lucieer.net stein@itc.nl ** University of Leicester, Department of Geography, Leicester, LE1 7RH, United Kingdom Telephone: +44 (0)116 2523839, Fax: +44 (0)116 252 3854 Email: pff1@le.ac.uk Keywords: multivariate texture, image segmentation, Local Binary Pattern (LBP) operator, uncertainty Abstract In this study, a segmentation procedure is proposed based on grey-level and multivariate texture to extract spatial objects from an image scene. Object uncertainty was quantified to identify transitions zones of objects with indeterminate boundaries. The Local Binary Pattern