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Open AccessArticle

Side-Scan Sonar Image Mosaic Using Couple Feature Points with Constraint of Track Line Positions

1
School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
Institute of Marine Science and Technology, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
3
Automation Department, School of Power and Mechanical Engineering, Wuhan University, 8 South Donghu Road, Wuhan 430072, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(6), 953; https://doi.org/10.3390/rs10060953
Received: 25 April 2018 / Revised: 1 June 2018 / Accepted: 12 June 2018 / Published: 15 June 2018
(This article belongs to the Special Issue Advances in Undersea Remote Sensing)
To obtain large-scale seabed surface image, this paper proposes a side-scan sonar (SSS) image mosaic method using couple feature points (CFPs) with constraint of track line positions. The SSS geocoded images are firstly used to form a coarsely mosaicked one and the overlapping areas between adjacent strip images can be determined based on geographic information. Inside the overlapping areas, the feature point (FP) detection and registration operation are adopted for both strips. According to the detected CFPs and track line positions, an adjustment model is established to accommodate complex local distortions as well as ensure the global stability. This proposed method effectively solves the problem of target ghosting or dislocation and no accumulated errors arise in the mosaicking process. Experimental results show that the finally mosaicked image correctly reflects the object distribution, which is meaningful for understanding and interpreting seabed topography. View Full-Text
Keywords: large-scale; side-scan sonar (SSS); image mosaic; couple feature points (CFPs); track line positions; adjustment model large-scale; side-scan sonar (SSS); image mosaic; couple feature points (CFPs); track line positions; adjustment model
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MDPI and ACS Style

Zhao, J.; Shang, X.; Zhang, H. Side-Scan Sonar Image Mosaic Using Couple Feature Points with Constraint of Track Line Positions. Remote Sens. 2018, 10, 953.

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