Modeling of High-Resolution 3D Sonar for Image Recognition
SCIE
SCOPUS
- Title
- Modeling of High-Resolution 3D Sonar for Image Recognition
- Authors
- Yu, SC; Teng, Z; Kang, DJ
- Date Issued
- 2012-09
- Publisher
- ISOPE
- Abstract
- Automated underwater 3D sonar image recognition has great potential to simplify many underwater tasks. Sonar modeling is necessary to recognize 3D object images. We propose a 3D sonar model that can predict what an object is based on by recognizing similarities to objects that pre-exist in a database. The sonar's displaying mechanism and characteristics of the 3D sonar image are studied. Due to the nature of acoustics, a sonar image is not necessarily always an accurate depiction of an object. The proposed model enables mapping of a 3D world onto a 2D sonar screen. This modeling framework enables the implementation of various optical vision techniques for recognition. Recognition experiments were conducted to evaluate the model's accuracy.
- Keywords
- Recognition; sonar; 3D image; automation; underwater; acoustic; AIDED CLASSIFICATION CAD/CAC; SIDESCAN SONAR; BOTTOM MINES; IMPROVEMENTS
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/16526
- ISSN
- 1053-5381
- Article Type
- Article
- Citation
- International Journal Society of Offshore Structures and Polar Engineers, vol. 22, no. 3, page. 186 - 192, 2012-09
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