BIOGRAPHY OF PRESENTER
This study presents a new visualisation tool for classification of satellite imagery. Visualisation of feature space allows exploration of patterns in the image data and insight into the classification process and related uncertainty. Visual Data Mining provides added value to image classifications...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Text |
| Language: | English |
| Subjects: | |
| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.1696 http://eprints.utas.edu.au/4846/1/williams_authorVersion.pdf |
| Summary: | This study presents a new visualisation tool for classification of satellite imagery. Visualisation of feature space allows exploration of patterns in the image data and insight into the classification process and related uncertainty. Visual Data Mining provides added value to image classifications as the user can be involved in the classification process providing increased confidence in and understanding of the results. In this study, we present a prototype visualisation tool for visual data mining (VDM) of satellite imagery. The visualisation tool is showcased in a classification study of high-resolution imagery of Heard Island. |
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