A Toolset for classifying reflectors in acoustic images

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dc.contributor.authorAddison, Dean M.en_US
dc.date.accessioned2024-07-31T22:14:23Z
dc.date.available2024-07-31T22:14:23Z
dc.date.copyright1998en_US
dc.date.issued1998
dc.degree.departmentDepartment of Mechanical Engineering
dc.degree.levelMaster of Applied Science M.A.Sc.en
dc.description.abstractThe focus of this work is a set of computational tools with which to classify and manipulate reflectors in underwater acoustic images. Acoustic images are generated by recording the reflections of repeated pulses of sound projected through some medium. The reflections from each pulse characterise the objects from which they are reflected. A multifaceted examination of the constituents of reflected signals in the time/ space and amplitude domains can be used to classify the reflectors in the medium. Three methods: Spatial deconvolution, wavelet analysis, and particle tracking will, in many cases, provide a useful tool-set to classify biological reflectors in hydro-acoustic images.
dc.format.extent131 pages
dc.identifier.urihttps://hdl.handle.net/1828/16890
dc.rightsAvailable to the World Wide Weben_US
dc.titleA Toolset for classifying reflectors in acoustic imagesen_US
dc.typeThesisen_US

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