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Memorial University - Electronic Theses and Dissertations 4
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Document Description
TitleSensor and data fusion of remotely sensed wide-area geospatial targets
AuthorChurchill, Stephen, 1975-
DescriptionThesis (M.Eng.)--Memorial University of Newfoundland, 2009. Engineering and Applied Science
Paginationxv, 179 leaves : col. ill., col. maps
SubjectIcebergs--Remote sensing; Multisensor data fusion--Methodology; Remoste sensing--Statistical methods;
Degree GrantorMemorial University of Newfoundland. Faculty of Engineering and Applied Science
DisciplineEngineering and Applied Science
NotesIncludes bibliographical references (leaves 175-179)
AbstractThis 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.
Resource TypeElectronic thesis or dissertation
FormatImage/jpeg; Application/pdf
SourcePaper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries
Local Identifiera2975958
RightsThe 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.
CollectionElectronic Theses and Dissertations
Scanning StatusCompleted
PDF File(21.46 MB) --
CONTENTdm file name79372.cpd