| Scan registration for underwater mechanical scanning imaging sonar using symmetrical Kullback-Leibler divergence |
| Jiang M(蒋敏)1,2 ; Song SM(宋三明)1; Li YP(李一平)1; Tang FZ(唐凤珍)1; Liu J(刘健)1; Feng XS(封锡盛)1
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| Department | 水下机器人研究室
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| Source Publication | JOURNAL OF ELECTRONIC IMAGING
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| ISSN | 1017-9909
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| 2019
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| Volume | 28Issue:1Pages:1-11 |
| Indexed By | SCI
; EI
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| EI Accession number | 20191106619744
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| WOS ID | WOS:000460119700026
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| Contribution Rank | 1
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| Keyword | underwater robots
mechanical scanning imaging sonar
scan registration
symmetrical Kullback-Leibler divergence
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| Abstract | Due to its advantages in size and energy consumption, mechanical scanning imaging sonar (MSIS) has been widely used in portable and economic underwater robots to observe the turbid and noisy underwater environment. However, handicapped by the coarseness in spatial and temporal resolution, it is difficult to stitch the scan pieces together into a panoramic map for global understanding. A registration method named symmetrical Kullback-Leibler divergence (SKLD)-distribution-to-distribution (D2D), which models each scan as a Gaussian mixture model (GMM) and evaluates the similarity between two GMMs in a D2D way with the measure defined by SKLD, is proposed to register the scans collected by MSIS. SKLD not only weights the difference between distributions with the prior probability but also increases the numerical stability with the symmetrical constraint in distance measure. Moreover, an approximation strategy is designed to derive a tractable solution for the KLD between two GMMs. Experimental results on the scans that were collected from the realistic underwater environment demonstrate that SKLD-D2D dramatically reduces the computational cost without compromising the estimation precision. (C) 2019 SPIE and IS&T |
| Language | 英语
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| WOS Subject | Engineering, Electrical & Electronic
; Optics
; Imaging Science & Photographic Technology
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| WOS Keyword | SLAM
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| WOS Research Area | Engineering
; Optics
; Imaging Science & Photographic Technology
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| Funding Project | National Key Research and Development Program of China[2016YFC0300801]
; Public Science and Technology Research Funds Projects of Ocean[201505017]
; National Natural Science Foundation of China
; National Natural Science Foundation of China[41506121]
; National Key Research and Development Program of China[2017YFC030 5901]
; National Key Research and Development Program of China[2016YFC0301601]
; Strategic Priority Program of the Chinese Academy of Sciences[XDA13030205]
; Strategic Priority Program of the Chinese Academy of Sciences[XDA11040103]
; State Key Laboratory of Robotics of China[2017-Z010]
; Natural Science Foundation of Jiangsu Province, China[BK20170558]
; project of R&D Center for Underwater Construction Robotics - Ministry of Ocean and Fisheries (MOF)
; Korea Institute of Marine Science & Technology Promotion (KIMST), Korea[PJT200539]
; National Key Research and Development Program of China
; Chinese Academy of Sciences
; State Key Laboratory of Robotics of China
; Natural Science Foundation of Jiangsu Province, China
; Ministry of Ocean and Fisheries (MOF)
; Korea Institute of Marine Science & Technology Promotion (KIMST), Korea
; Public science and technology research funds projects of ocean
; National Key Research and Development Program of China[2016YFC0300801]
; Public Science and Technology Research Funds Projects of Ocean[201505017]
; National Natural Science Foundation of China
; National Natural Science Foundation of China[41506121]
; National Key Research and Development Program of China[2017YFC030 5901]
; National Key Research and Development Program of China[2016YFC0301601]
; Strategic Priority Program of the Chinese Academy of Sciences[XDA13030205]
; Strategic Priority Program of the Chinese Academy of Sciences[XDA11040103]
; State Key Laboratory of Robotics of China[2017-Z010]
; Natural Science Foundation of Jiangsu Province, China[BK20170558]
; project of R&D Center for Underwater Construction Robotics - Ministry of Ocean and Fisheries (MOF)
; Korea Institute of Marine Science & Technology Promotion (KIMST), Korea[PJT200539]
; National Key Research and Development Program of China
; Chinese Academy of Sciences
; State Key Laboratory of Robotics of China
; Natural Science Foundation of Jiangsu Province, China
; Ministry of Ocean and Fisheries (MOF)
; Korea Institute of Marine Science & Technology Promotion (KIMST), Korea
; Public science and technology research funds projects of ocean
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| Citation statistics |
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| Document Type | 期刊论文
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| Identifier | http://ir.sia.cn/handle/173321/24415
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| Collection | 水下机器人研究室
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| Corresponding Author | Song SM(宋三明) |
| Affiliation | 1.Chinese Academy of Sciences, Shenyang Institute of Automation, State Key Laboratory of Robotics, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
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Recommended Citation
GB/T 7714 |
Jiang M,Song SM,Li YP,et al. Scan registration for underwater mechanical scanning imaging sonar using symmetrical Kullback-Leibler divergence[J]. JOURNAL OF ELECTRONIC IMAGING,2019,28(1):1-11.
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| APA |
Jiang M,Song SM,Li YP,Tang FZ,Liu J,&Feng XS.(2019).Scan registration for underwater mechanical scanning imaging sonar using symmetrical Kullback-Leibler divergence.JOURNAL OF ELECTRONIC IMAGING,28(1),1-11.
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| MLA |
Jiang M,et al."Scan registration for underwater mechanical scanning imaging sonar using symmetrical Kullback-Leibler divergence".JOURNAL OF ELECTRONIC IMAGING 28.1(2019):1-11.
|
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