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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Bibliographic Details
Main Authors: Sam Welch, Arko Lucieer, Ray Williams
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Heard Island
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
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spelling 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
institution Open Polar
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language 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.
author2 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
genre_facet 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
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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