Sensor and data fusion of remotely sensed wide-area geospatial targets
Thesis (M.Eng.)--Memorial University of Newfoundland, 2009. Engineering and Applied Science Includes bibliographical references (leaves 175-179) This thesis consists of the examination of methodologies for sensor fusion and data fusion of remotely sensed, sparse geospatial targets. Methods for attai...
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ftmemorialunivdc:oai:collections.mun.ca:theses4/79371 2023-05-15T17:23:33+02:00 Sensor and data fusion of remotely sensed wide-area geospatial targets Churchill, Stephen, 1975- Memorial University of Newfoundland. Faculty of Engineering and Applied Science 2009 xv, 179 leaves : col. ill., col. maps Image/jpeg; Application/pdf http://collections.mun.ca/cdm/ref/collection/theses4/id/79371 Eng eng Electronic Theses and Dissertations (21.46 MB) -- http://collections.mun.ca/PDFs/theses/Churchill_Stephen.pdf a2975958 http://collections.mun.ca/cdm/ref/collection/theses4/id/79371 The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission. Paper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries Icebergs--Remote sensing Multisensor data fusion--Methodology Remoste sensing--Statistical methods Text Electronic thesis or dissertation 2009 ftmemorialunivdc 2015-08-06T19:22:11Z Thesis (M.Eng.)--Memorial University of Newfoundland, 2009. Engineering and Applied Science Includes bibliographical references (leaves 175-179) This thesis consists of the examination of methodologies for sensor fusion and data fusion of remotely sensed, sparse geospatial targets. Methods for attaining an increased awareness of targets in both tactical and strategic roles are proposed and examined. The example methodologies are demonstrated, and areas for further research noted. Discussions of the proposed methods are carried forth in the context of iceberg detection. -- Amongst the difficulties associated with the combination of sensor parameters and sensor data are the wide variety of technologies, performance ability, coverage, and reliability that are available to those users of remote sensing technology. Typical sensors include airborne search radars, marine search radars, surface wave radar, and satellite synthetic aperture radar. The ability to mitigate the related parametric variances is the test of an appropriate sensor or data fusion algorithm. -- Documented herein are the efforts to find such an algorithm using various statistical methods. Primary among these is Bayes Theorem combined with tracking systems such as the multiple hypothesis tracker. This and other methodologies are explored and evaluated, where appropriate. It will be demonstrated that such a methodology can combine sensor data returns to provide high performance, wide-area, situational awareness with sensors considered to have poor performance. Thesis Newfoundland studies University of Newfoundland Memorial University of Newfoundland: Digital Archives Initiative (DAI) |
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Memorial University of Newfoundland: Digital Archives Initiative (DAI) |
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ftmemorialunivdc |
language |
English |
topic |
Icebergs--Remote sensing Multisensor data fusion--Methodology Remoste sensing--Statistical methods |
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Icebergs--Remote sensing Multisensor data fusion--Methodology Remoste sensing--Statistical methods Churchill, Stephen, 1975- Sensor and data fusion of remotely sensed wide-area geospatial targets |
topic_facet |
Icebergs--Remote sensing Multisensor data fusion--Methodology Remoste sensing--Statistical methods |
description |
Thesis (M.Eng.)--Memorial University of Newfoundland, 2009. Engineering and Applied Science Includes bibliographical references (leaves 175-179) This thesis consists of the examination of methodologies for sensor fusion and data fusion of remotely sensed, sparse geospatial targets. Methods for attaining an increased awareness of targets in both tactical and strategic roles are proposed and examined. The example methodologies are demonstrated, and areas for further research noted. Discussions of the proposed methods are carried forth in the context of iceberg detection. -- Amongst the difficulties associated with the combination of sensor parameters and sensor data are the wide variety of technologies, performance ability, coverage, and reliability that are available to those users of remote sensing technology. Typical sensors include airborne search radars, marine search radars, surface wave radar, and satellite synthetic aperture radar. The ability to mitigate the related parametric variances is the test of an appropriate sensor or data fusion algorithm. -- Documented herein are the efforts to find such an algorithm using various statistical methods. Primary among these is Bayes Theorem combined with tracking systems such as the multiple hypothesis tracker. This and other methodologies are explored and evaluated, where appropriate. It will be demonstrated that such a methodology can combine sensor data returns to provide high performance, wide-area, situational awareness with sensors considered to have poor performance. |
author2 |
Memorial University of Newfoundland. Faculty of Engineering and Applied Science |
format |
Thesis |
author |
Churchill, Stephen, 1975- |
author_facet |
Churchill, Stephen, 1975- |
author_sort |
Churchill, Stephen, 1975- |
title |
Sensor and data fusion of remotely sensed wide-area geospatial targets |
title_short |
Sensor and data fusion of remotely sensed wide-area geospatial targets |
title_full |
Sensor and data fusion of remotely sensed wide-area geospatial targets |
title_fullStr |
Sensor and data fusion of remotely sensed wide-area geospatial targets |
title_full_unstemmed |
Sensor and data fusion of remotely sensed wide-area geospatial targets |
title_sort |
sensor and data fusion of remotely sensed wide-area geospatial targets |
publishDate |
2009 |
url |
http://collections.mun.ca/cdm/ref/collection/theses4/id/79371 |
genre |
Newfoundland studies University of Newfoundland |
genre_facet |
Newfoundland studies University of Newfoundland |
op_source |
Paper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries |
op_relation |
Electronic Theses and Dissertations (21.46 MB) -- http://collections.mun.ca/PDFs/theses/Churchill_Stephen.pdf a2975958 http://collections.mun.ca/cdm/ref/collection/theses4/id/79371 |
op_rights |
The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission. |
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1766113271799087104 |