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Real-time autonomous multi resolution visual surveys based on seafloor scene complexity

Real-time autonomous multi resolution visual surveys based on seafloor scene complexity
Real-time autonomous multi resolution visual surveys based on seafloor scene complexity
This paper describes a method to optimize the spatial resolution of image surveys based on the spatial scale of features on the seafloor that are not known prior to observation. The method makes use of the density of visual features as a measure of the complexity of a seafloor image. In order to achieve this, two approaches to assess scene complexity we investigated. The performance of the method was verified using seafloor imagery obtained in the Iheya North field in the Okinawa Trough. The results demonstrate that it is effective for a large range of feature sizes.
330-335
IEEE
Otsuki, Yuto
4292f931-db42-47d1-82b4-8b36264505ce
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9
Maki, Toshihiro
a9db4514-4269-4955-96cc-376059685a7b
Nishida, Yuya
3128a94d-c57f-4933-8433-d2c57e3bd1ca
Bodenmann, Adrian
070a668f-cc2f-402a-844e-cdf207b24f50
Nagano, Kazunori
49129778-f2c4-4e6c-ac1d-8ac67dce16a4
Otsuki, Yuto
4292f931-db42-47d1-82b4-8b36264505ce
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9
Maki, Toshihiro
a9db4514-4269-4955-96cc-376059685a7b
Nishida, Yuya
3128a94d-c57f-4933-8433-d2c57e3bd1ca
Bodenmann, Adrian
070a668f-cc2f-402a-844e-cdf207b24f50
Nagano, Kazunori
49129778-f2c4-4e6c-ac1d-8ac67dce16a4

Otsuki, Yuto, Thornton, Blair, Maki, Toshihiro, Nishida, Yuya, Bodenmann, Adrian and Nagano, Kazunori (2016) Real-time autonomous multi resolution visual surveys based on seafloor scene complexity. In 2016 IEEE/OES Autonomous Underwater Vehicles (AUV). IEEE. pp. 330-335 . (doi:10.1109/AUV.2016.7778692).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper describes a method to optimize the spatial resolution of image surveys based on the spatial scale of features on the seafloor that are not known prior to observation. The method makes use of the density of visual features as a measure of the complexity of a seafloor image. In order to achieve this, two approaches to assess scene complexity we investigated. The performance of the method was verified using seafloor imagery obtained in the Iheya North field in the Okinawa Trough. The results demonstrate that it is effective for a large range of feature sizes.

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More information

Published date: 12 December 2016

Identifiers

Local EPrints ID: 448215
URI: http://eprints.soton.ac.uk/id/eprint/448215
PURE UUID: 068b4310-1ddc-462a-b41a-920d71d7cdac

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Date deposited: 15 Apr 2021 16:31
Last modified: 26 Apr 2021 16:36

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Contributors

Author: Yuto Otsuki
Author: Blair Thornton
Author: Toshihiro Maki
Author: Yuya Nishida
Author: Kazunori Nagano

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