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Calibration and mosaicing of forward-scan sonar DIDSON images
Xie SR(谢少荣); Xu YY(徐元玉); Chen JB(陈金波); Jin, Wenjun; Luo J(罗均)
Department机器人学研究室
Conference Name2012 5th International Conference on Intelligent Computation Technology and Automation, ICICTA 2012
Conference DateJanuary 12-14, 2012
Conference PlaceZhangjiajie, Hunan, China
Author of SourceRes. Assoc. Intelligent Comput. Technol. Autom.; Changsha University of Science and Technology; Hunan University of Science and Technology
Source PublicationProceedings - 2012 5th International Conference on Intelligent Computation Technology and Automation, ICICTA 2012
PublisherIEEE Computer Society
Publication PlacePiscataway, USA
2012
Pages439-442
Indexed ByEI
EI Accession number20121114849995
Contribution Rank1
ISBN978-0-7695-4637-7
KeywordImage Fusion Image Matching Image Registration Underwater Acoustics
AbstractDIDSON(Dual-frequency identification sonar),a new generation of acoustic video cameras, is applied to research and detect the underwater environment in this paper. In order to solve the shortcomings of the DIDSON in underwater environment, we propose a real-time forward-scan sonar image mosaicing method and system. Through a series of processing to the DIDSON images, such as image registration , image matching and image fusion, a few DIDSON images with small viewing angle and low resolution have be mosaicing to be a large-scale and high resolution sonar image. This improves DIDSON's target detection and expand observing angle to detect bigger underwater targets. 
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/10478
Collection机器人学研究室
Affiliation1.School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200072, China
2.State Key Laboratory of Robotics, Shanghai University, Shanghai, 200072, China
Recommended Citation
GB/T 7714
Xie SR,Xu YY,Chen JB,et al. Calibration and mosaicing of forward-scan sonar DIDSON images[C]//Res. Assoc. Intelligent Comput. Technol. Autom.; Changsha University of Science and Technology; Hunan University of Science and Technology. Piscataway, USA:IEEE Computer Society,2012:439-442.
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