A Sea-Sky Line Detection Method for Unmanned Surface Vehicles Based on Gradient Saliency
Special features in real marine environments such as cloud clutter, sea glint and weather conditions always result in various kinds of interference in optical images, which make it very difficult for unmanned surface vehicles (USVs) to detect the sea-sky line (SSL) accurately. To solve this problem...
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Published in | Sensors (Basel, Switzerland) Vol. 16; no. 4; p. 543 |
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Format | Journal Article |
Language | English |
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15.04.2016
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Abstract | Special features in real marine environments such as cloud clutter, sea glint and weather conditions always result in various kinds of interference in optical images, which make it very difficult for unmanned surface vehicles (USVs) to detect the sea-sky line (SSL) accurately. To solve this problem a saliency-based SSL detection method is proposed. Through the computation of gradient saliency the line features of SSL are enhanced effectively, while other interference factors are relatively suppressed, and line support regions are obtained by a region growing method on gradient orientation. The SSL identification is achieved according to region contrast, line segment length and orientation features, and optimal state estimation of SSL detection is implemented by introducing a cubature Kalman filter (CKF). In the end, the proposed method is tested on a benchmark dataset from the "XL" USV in a real marine environment, and the experimental results demonstrate that the proposed method is significantly superior to other state-of-the-art methods in terms of accuracy rate and real-time performance, and its accuracy and stability are effectively improved by the CKF. |
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AbstractList | Special features in real marine environments such as cloud clutter, sea glint and weather conditions always result in various kinds of interference in optical images, which make it very difficult for unmanned surface vehicles (USVs) to detect the sea-sky line (SSL) accurately. To solve this problem a saliency-based SSL detection method is proposed. Through the computation of gradient saliency the line features of SSL are enhanced effectively, while other interference factors are relatively suppressed, and line support regions are obtained by a region growing method on gradient orientation. The SSL identification is achieved according to region contrast, line segment length and orientation features, and optimal state estimation of SSL detection is implemented by introducing a cubature Kalman filter (CKF). In the end, the proposed method is tested on a benchmark dataset from the "XL" USV in a real marine environment, and the experimental results demonstrate that the proposed method is significantly superior to other state-of-the-art methods in terms of accuracy rate and real-time performance, and its accuracy and stability are effectively improved by the CKF. |
Author | Wang, Bo Su, Yumin Wan, Lei |
AuthorAffiliation | National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin 150001, China; suyumin@hrbeu.edu.cn (Y.S.); wanlei@hrbeu.edu.cn (L.W.) |
AuthorAffiliation_xml | – name: National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin 150001, China; suyumin@hrbeu.edu.cn (Y.S.); wanlei@hrbeu.edu.cn (L.W.) |
Author_xml | – sequence: 1 givenname: Bo surname: Wang fullname: Wang, Bo email: wb@hrbeu.edu.cn organization: National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin 150001, China. wb@hrbeu.edu.cn – sequence: 2 givenname: Yumin surname: Su fullname: Su, Yumin email: suyumin@hrbeu.edu.cn organization: National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin 150001, China. suyumin@hrbeu.edu.cn – sequence: 3 givenname: Lei surname: Wan fullname: Wan, Lei email: wanlei@hrbeu.edu.cn organization: National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin 150001, China. wanlei@hrbeu.edu.cn |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27092503$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1109/TAC.2009.2019800 10.1117/12.2038018 10.1016/0734-189X(86)90223-9 10.1115/1.3662552 10.1117/12.2033039 10.1109/TPAMI.2008.300 10.1109/LGRS.2012.2194473 10.1007/s10846-012-9684-7 10.3390/s150924487 10.1109/TAES.1980.309006 10.3390/s140713210 10.1109/TPAMI.2014.2345401 10.1016/j.automatica.2012.11.014 |
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References | 26404308 - Sensors (Basel). 2015 Sep 23;15(9):24487-513 25054633 - Sensors (Basel). 2014;14(7):13210-42 20224126 - IEEE Trans Pattern Anal Mach Intell. 2010 Apr;32(4):722-32 26353262 - IEEE Trans Pattern Anal Mach Intell. 2015 Mar;37(3):569-82 ref13 ref12 ref15 ref14 ref20 ref11 ref10 ref17 Grompone (ref16) 2010; 32 ref19 ref18 ref8 ref7 Zou (ref3) 2014; 846 ref9 Wan (ref6) 2012; 46 Shen (ref5) 2013; 10 Kim (ref2) 2014; 14 Ddumble (ref1) 2012; 68 Kim (ref4) 2015; 15 |
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Title | A Sea-Sky Line Detection Method for Unmanned Surface Vehicles Based on Gradient Saliency |
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