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Automatic extraction of thickness information from sub-surface acoustic measurements of manganese crusts

Automatic extraction of thickness information from sub-surface acoustic measurements of manganese crusts
Automatic extraction of thickness information from sub-surface acoustic measurements of manganese crusts
Mapping and estimating the volumetric distribution of cobalt-rich manganese crusts (Mn-crust) is a challenging task that lies at the centre of deep-sea mineral prospecting. Acoustic methods are effective and capable of in-situ continuous measurements of Mn-crust thickness, providing much higher spatial resolutions compared to traditional methods involving sampling. However, processing acoustic signal in order to estimate thickness values is difficult due to low signal to noise ratios. This paper proposes a combination of image processing techniques in addition to acoustic signal processing in order to improve the accuracy of measurements. The advantage is the possibility of using the physical properties of Mn-crust, such as local continuity in order to recognize valid measurements. Testing the algorithm on data collected from sea experiments demonstrate that the reflected signals from the crust can be identified, resulting in spatially continuous thickness estimates.
IEEE
Neettiyah, Umesh
53d300cd-5f0a-4140-8615-de0c6143ed49
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9
Sangekar, Mehul
696f8f96-233c-4f60-839f-cd327a7c62c5
Ishii, Kazuo
1f23d735-61a0-40a9-a4ba-35a11e72f97a
Sato, Takumi
e504de0d-f8f0-493b-8ace-a8be0ef249a8
Bodenmann, Adrian
070a668f-cc2f-402a-844e-cdf207b24f50
Ura, Tamaki
0054b875-f246-4d9d-b970-623d97fd4d86
Neettiyah, Umesh
53d300cd-5f0a-4140-8615-de0c6143ed49
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9
Sangekar, Mehul
696f8f96-233c-4f60-839f-cd327a7c62c5
Ishii, Kazuo
1f23d735-61a0-40a9-a4ba-35a11e72f97a
Sato, Takumi
e504de0d-f8f0-493b-8ace-a8be0ef249a8
Bodenmann, Adrian
070a668f-cc2f-402a-844e-cdf207b24f50
Ura, Tamaki
0054b875-f246-4d9d-b970-623d97fd4d86

Neettiyah, Umesh, Thornton, Blair, Sangekar, Mehul, Ishii, Kazuo, Sato, Takumi, Bodenmann, Adrian and Ura, Tamaki (2017) Automatic extraction of thickness information from sub-surface acoustic measurements of manganese crusts. In OCEANS 2017 - Aberdeen. IEEE. 7 pp . (doi:10.1109/OCEANSE.2017.8084917).

Record type: Conference or Workshop Item (Paper)

Abstract

Mapping and estimating the volumetric distribution of cobalt-rich manganese crusts (Mn-crust) is a challenging task that lies at the centre of deep-sea mineral prospecting. Acoustic methods are effective and capable of in-situ continuous measurements of Mn-crust thickness, providing much higher spatial resolutions compared to traditional methods involving sampling. However, processing acoustic signal in order to estimate thickness values is difficult due to low signal to noise ratios. This paper proposes a combination of image processing techniques in addition to acoustic signal processing in order to improve the accuracy of measurements. The advantage is the possibility of using the physical properties of Mn-crust, such as local continuity in order to recognize valid measurements. Testing the algorithm on data collected from sea experiments demonstrate that the reflected signals from the crust can be identified, resulting in spatially continuous thickness estimates.

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More information

Published date: 26 June 2017
Venue - Dates: OCEANS'17 MTS/IEEE, Aberdeen, United Kingdom, 2017-06-19 - 2017-06-22

Identifiers

Local EPrints ID: 417894
URI: http://eprints.soton.ac.uk/id/eprint/417894
PURE UUID: 77e2a655-fab6-49d3-bfc1-bc26fef4dd37

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Date deposited: 16 Feb 2018 17:30
Last modified: 18 Dec 2018 17:30

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Contributors

Author: Umesh Neettiyah
Author: Blair Thornton
Author: Mehul Sangekar
Author: Kazuo Ishii
Author: Takumi Sato
Author: Adrian Bodenmann
Author: Tamaki Ura

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