Paper Info
Title
Interactive And Visual Fuzzy Classification Of Remotely Sensed Imagery For Exploration Of Uncertainty
Abstract
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.
Year
DOI
Venue
2004
10.1080/13658810410001658094
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Keywords
Field
DocType
transition zone,focus group,fuzzy classification,feature space,engineering,parallel coordinates,interactive visualization,geomatic engineering
Geovisualization,Data mining,Feature vector,Fuzzy classification,Computer science,Fuzzy logic,Interactive visualization,Parallel coordinates,Artificial intelligence,Classifier (linguistics),Machine learning,Image display
Journal
Volume
Issue
ISSN
18
5
1365-8816
Citations 
PageRank 
References 
12
1.25
6
Authors
2
Name
Order
Citations
PageRank
Arko Lucieer145546.51
Menno-Jan Kraak238633.93