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Interactive and visual fuzzy classification of remotely sensed imagery for exploration of uncertainty


Lucieer, A and Kraak, MJ, Interactive and visual fuzzy classification of remotely sensed imagery for exploration of uncertainty, International Journal of Geographical Information Science, 18, (5) pp. 491-512. ISSN 1365-8816 (2004) [Refereed Article]

DOI: doi:10.1080/13658810410001658094


In this study, we propose, describe, and demonstrate a new geovisualization tool to demonstrate the use of exploratory and interactive visualization techniques for a visual fuzzy classification of remotely sensed imagery. The proposed tool uses dynamically linked views, consisting of an image display, a parallel coordinate plot, a 3D feature space plot, and a classified map with an uncertainty map. It allows a geoscientist to interact with the parameters of a fuzzy classification algorithm by visually adjusting fuzzy membership functions and fuzzy transition zones of land-cover classes. The purpose of this tool is to improve insight into fuzzy classification of remotely sensed imagery and related uncertainty. We tested our tool with a visual fuzzy land-cover classification of a Landsat 7 ETM + image of an area in southern France characterized by objects with indeterminate boundaries. Good results were obtained with the visual classifier. Additionally, a focus-group user test of the tool showed that insight into a fuzzy classification algorithm and classification uncertainty improved considerably. © 2004 Taylor and Francis Ltd.

Item Details

Item Type:Refereed Article
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Application software packages
UTAS Author:Lucieer, A (Professor Arko Lucieer)
ID Code:33369
Year Published:2004
Web of Science® Times Cited:26
Deposited By:Geography and Environmental Studies
Deposited On:2005-07-13
Last Modified:2010-08-04

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