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Real-Time Underwater Target Classification Method for Multi-resolution imaging Sonar of the AUV
Gao L(高雷); Sun K(孙凯); Zhang Y(张瑶)
Department海洋信息技术装备中心
Conference NameOCEANS 2015 MTS/IEEE
Conference DateOctober 19-22, 2015
Conference PlaceWashington, DC
Source PublicationOCEANS 2015 MTS/IEEE
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2015
Pages1-4
Contribution Rank1
ISBN978-0-933957-43-5
KeywordMulti-resolution Imaging Sonar Autonomous Underwater Vehicle Sonar Image Processing Target Classification
AbstractHow to accurately and fast classification obstacle is the key of real-time obstacle avoidance and avoidance decision for autonomous underwater vehicle. According to the characteristics of the multi-resolution imaging sonar, we extracted the obstacle information and characteristics from sonar image , and the AUV can quickly make decision with underwater obstacles classification. Finally, the data of lake test verified that the method of real-time image processing and underwater target classification is feasible and effective.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17343
Collection海洋信息技术装备中心
AffiliationState Key Laboratory of Robotics, Shenyang Institute of Automation CAS, Shenyang, China
Recommended Citation
GB/T 7714
Gao L,Sun K,Zhang Y. Real-Time Underwater Target Classification Method for Multi-resolution imaging Sonar of the AUV[C]. Piscataway, NJ, USA:IEEE,2015:1-4.
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