Automated detection and classification in high-resolution sonar imagery for autonomous underwater vehicle operations. [electronic resource] / Philip Chapple
- Bib ID:
- 4699407
- Format:
- Book
- Author:
- Chapple, Philip
- Online Access:
- Publisher site
- Online Version:
- Archived at NLA
- Description:
- Edinburgh, S. Aust. : Defence Science and Technology Organisation, 2008
- Series:
- General document (Defence Science and Technology Organisation (Australia)) ; DSTO-GD-0537.
- Technical Details:
-
- Mode of access: Internet and Adobe Acrobat reader to access the document in PDF format.
- Mode of access: Internet via World Wide Web. Available at: http://dspace.dsto.defence.gov.au/dspace/bitstream/1947/9897/1/DSTO-GD-0537%20PR.pdf
- Mode of access: Internet via World Wide Web. Available http://hdl.handle.net/1947/9897.
- Summary:
-
Autonomous Underwater Vehicles (AUVs) are increasingly being used by military forces to acquire high-resolution sonar imagery, in order to detect mines and other objects of interest on the seabed. Automatic detection and classification techniques are being developed for several reasons: to provide reliable and consistent detection of objects on the seabed; to free human analysts from time-consuming and tedious detection tasks; and to enable autonomous in-field decision-making based on observations of mines and other objects. This document reviews progress in the development of automated detection and classification techniques for side-looking sonars mounted on AUVs. Whilst the techniques have not yet reached maturity, considerable progress has been made in both unsupervised and supervised (trained) algorithms for feature detection and classification. In some cases, the performance and reliability of automated detection systems exceed those of human operators.
- Notes:
-
- "December 2008"
- Title from PDF cover (viewed on 28 September, 2009)
- Includes bibliographical references.
- Text and graphics.
- Selected for archiving
- Subject:
- Other authors/contributors:
- Defence Science and Technology Organisation (Australia). Maritime Operations Division
- Copyright:
-
In Copyright
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- Reason for copyright status:
- Until 2058 [Created/Published Date + 50 Years]
Copyright status was determined using the following information:
- Material type:
- Literary Dramatic Musical
- Published status:
- Published
- Publication date:
- 2008
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