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An investigation of methods for remote bottom and subbottom marine sediment classification using a chirp sonar
Thesis (M. Ing.) -- University of Stellenbosch, 1992.
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| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2012
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| _version_ | 1867614053055070208 |
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| access_status_str | Open Access |
| author | Claassen, Daniel Marthinus |
| author2 | Lourens, J. G. |
| author_browse | Claassen, Daniel Marthinus Lourens, J. G. |
| author_facet | Lourens, J. G. Claassen, Daniel Marthinus |
| author_sort | Claassen, Daniel Marthinus |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (M. Ing.) -- University of Stellenbosch, 1992. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/69505 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:45:54.519Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2012 |
| publishDateRange | 2012 |
| publishDateSort | 2012 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/69505 An investigation of methods for remote bottom and subbottom marine sediment classification using a chirp sonar Claassen, Daniel Marthinus Lourens, J. G. Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Marine sediments -- Classification Sonar Dissertations -- Electronic engineering Thesis (M. Ing.) -- University of Stellenbosch, 1992. Remote marine sediment classification is useful for a number of purposes, including geological surveys, mining and marine civil engineering project. The purpose of this thesis is to investigate techniques for remote bottom and subbottom marine sediment classification, using a chirp sonar sweeping from 1 to 13kHz. It is shown that there are two basic identification methods applicable to a chirp sonar. The first method classifies the top layer from the estimated reflection coefficient, or bottom loss, of the signal reflected from the top sedimentary layer. The second method classifies subbottom layers by estimating the characteristic frequency dependent acoustic transfer function of the ediment through which the chirp signal passes. A simple appropriate model for the frequency dependent attentuation is given. Using this model, two classification techniques for estimating the attenuation coefficient are compared by numerical simulation in a noisy environment. It is found that, taking various factors into consideration, the instantaneous frequency (IF) method, a spectral-shift technique, yields better results than the matched filtering (MF) method, which is a correlation technique. Masters 2012-08-27T12:27:07Z 2012-08-27T12:27:07Z 1992 Thesis http://hdl.handle.net/10019.1/69505 en_ZA Stellenbosch University 82 pages : ill. application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Marine sediments -- Classification Sonar Dissertations -- Electronic engineering Claassen, Daniel Marthinus An investigation of methods for remote bottom and subbottom marine sediment classification using a chirp sonar |
| title | An investigation of methods for remote bottom and subbottom marine sediment classification using a chirp sonar |
| title_full | An investigation of methods for remote bottom and subbottom marine sediment classification using a chirp sonar |
| title_fullStr | An investigation of methods for remote bottom and subbottom marine sediment classification using a chirp sonar |
| title_full_unstemmed | An investigation of methods for remote bottom and subbottom marine sediment classification using a chirp sonar |
| title_short | An investigation of methods for remote bottom and subbottom marine sediment classification using a chirp sonar |
| title_sort | investigation of methods for remote bottom and subbottom marine sediment classification using a chirp sonar |
| topic | Marine sediments -- Classification Sonar Dissertations -- Electronic engineering |
| url | http://hdl.handle.net/10019.1/69505 |
| work_keys_str_mv | AT claassendanielmarthinus aninvestigationofmethodsforremotebottomandsubbottommarinesedimentclassificationusingachirpsonar AT claassendanielmarthinus investigationofmethodsforremotebottomandsubbottommarinesedimentclassificationusingachirpsonar |