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...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.153.1696 2023-05-15T16:33:54+02:00 BIOGRAPHY OF PRESENTER Sam Welch Arko Lucieer Ray Williams The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.1696 http://eprints.utas.edu.au/4846/1/williams_authorVersion.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.1696 http://eprints.utas.edu.au/4846/1/williams_authorVersion.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://eprints.utas.edu.au/4846/1/williams_authorVersion.pdf text ftciteseerx 2016-01-07T15:24:37Z 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. Text Heard Island Unknown Heard Island |
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English |
description |
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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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Sam Welch Arko Lucieer Ray Williams |
spellingShingle |
Sam Welch Arko Lucieer Ray Williams BIOGRAPHY OF PRESENTER |
author_facet |
Sam Welch Arko Lucieer Ray Williams |
author_sort |
Sam Welch |
title |
BIOGRAPHY OF PRESENTER |
title_short |
BIOGRAPHY OF PRESENTER |
title_full |
BIOGRAPHY OF PRESENTER |
title_fullStr |
BIOGRAPHY OF PRESENTER |
title_full_unstemmed |
BIOGRAPHY OF PRESENTER |
title_sort |
biography of presenter |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.1696 http://eprints.utas.edu.au/4846/1/williams_authorVersion.pdf |
geographic |
Heard Island |
geographic_facet |
Heard Island |
genre |
Heard Island |
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Heard Island |
op_source |
http://eprints.utas.edu.au/4846/1/williams_authorVersion.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.1696 http://eprints.utas.edu.au/4846/1/williams_authorVersion.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766023645209034752 |