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Chengyang Peng, Shaohua Jin, Gang Bian, Yang Cui and Meina Wang
The scarcity and difficulty in acquiring Side-scan sonar target images limit the application of deep learning algorithms in Side-scan sonar target detection. At present, there are few amplification methods for Side-scan sonar images, and the amplificatio...
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Lin Zhang, Yanbin Gao and Lianwu Guan
For seabed mapping, the prevalence of autonomous underwater vehicles (AUVs) employing side-scan sonar (SSS) necessitates robust navigation solutions. However, the positioning errors of traditional strapdown inertial navigation system (SINS) and Doppler v...
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Jier Xi and Xiufen Ye
There are many challenges in using side-scan sonar (SSS) images to detect objects. The challenge of object detection and recognition in sonar data is greater than in optical images due to the sparsity of detectable targets. The complexity of real-world u...
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Honghe Huang, Zhen Zuo, Bei Sun, Peng Wu and Jiaju Zhang
Side-scan sonar systems play an important role in tasks such as marine terrain exploration and underwater target identification. Target segmentation of side-scan sonar images is an effective method of underwater target detection. However, the principle o...
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Jongdae Jung, Yeongjun Lee, Jeonghong Park and Tae-Kyeong Yeu
Monitoring offshore infrastructure is a challenging task owing to the harsh ocean environment. To reduce human involvement in this task, this study proposes an autonomous surface vehicle (ASV)-based structural monitoring system for inspecting power cable...
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Antoni Burguera and Francisco Bonin-Font
This paper proposes a method to perform on-line multi-class segmentation of Side-Scan Sonar acoustic images, thus being able to build a semantic map of the sea bottom usable to search loop candidates in a SLAM context. The proposal follows three main ste...
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Reed, S.; Ruiz, I.T.; Capus, C.; Petillot, Y.
Pág. 2049 - 2060
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