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Article

A Novel Horizon Picking Method on Sub-Bottom Profiler Sonar Images

1
School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
Institute of Marine Science and Technology, Wuhan University, Wuhan 430079, China
3
Department of Artificial Intelligence and Automation, School of Electrical Engineering and Automation, Wuhan University, 8 South Donghu Road, Wuhan 430072, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(20), 3322; https://doi.org/10.3390/rs12203322
Submission received: 21 August 2020 / Revised: 9 October 2020 / Accepted: 9 October 2020 / Published: 12 October 2020
(This article belongs to the Special Issue 2nd Edition Radar and Sonar Imaging and Processing)

Abstract

Traditional manual horizon picking is time-consuming and laborious, while automatic picking methods often suffer from the limited scope of their applications and the discontinuity of picked results. In this paper, we propose a novel method for automatic horizon picking from sub-bottom profiles (SBP) by an improved filtering algorithm. First, a clear and fine SBP image is formed using an intensity transformation method. On this basis, a novel filtering method is proposed by improving the multi-scale enhancement filtering algorithm to obtain clear horizons from an SBP image. The improvement is performed by applying a vertical suppression weighting term based on the form of logistic function, which is constructed by using the eigenvectors from the Hessian matrix. Then, the filtered image is segmented using a threshold method, and the horizon points in the SBP image are picked. After that, a horizon linking method is applied, which uses the horizon directions to refine the picked horizon points. The proposed method has been verified experimentally, and accurate and continuous horizons were obtained. Finally, the proposed method is discussed and some conclusions are drawn.
Keywords: sonar image; sub-bottom profiler; horizon picking; filtering method; Hessian matrix; logistic function sonar image; sub-bottom profiler; horizon picking; filtering method; Hessian matrix; logistic function
Graphical Abstract

Share and Cite

MDPI and ACS Style

Li, S.; Zhao, J.; Zhang, H.; Bi, Z.; Qu, S. A Novel Horizon Picking Method on Sub-Bottom Profiler Sonar Images. Remote Sens. 2020, 12, 3322. https://doi.org/10.3390/rs12203322

AMA Style

Li S, Zhao J, Zhang H, Bi Z, Qu S. A Novel Horizon Picking Method on Sub-Bottom Profiler Sonar Images. Remote Sensing. 2020; 12(20):3322. https://doi.org/10.3390/rs12203322

Chicago/Turabian Style

Li, Shaobo, Jianhu Zhao, Hongmei Zhang, Zijun Bi, and SiHeng Qu. 2020. "A Novel Horizon Picking Method on Sub-Bottom Profiler Sonar Images" Remote Sensing 12, no. 20: 3322. https://doi.org/10.3390/rs12203322

APA Style

Li, S., Zhao, J., Zhang, H., Bi, Z., & Qu, S. (2020). A Novel Horizon Picking Method on Sub-Bottom Profiler Sonar Images. Remote Sensing, 12(20), 3322. https://doi.org/10.3390/rs12203322

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