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A New Generation Side Scan Sonar

1993
While it is now possible, with multibeam echosounders, to obtain true bathymetric images of the sea floor up to ranges of 10 km 1,2, the best way of imaging the underwater relief with high resolution at lower ranges remains the side scan sonar 3. This 30 years old technique is however limited in several aspects that will be discussed later.
Pierre Alais   +3 more
openaire   +1 more source

Object detection in side scan sonar

SPIE Proceedings, 2015
Automatic target detection is a challenging task as the response from an underwater target may vary greatly depending on its configuration, sonar parameters and the environment. We propose a Z- test algorithm for target detection in side scan sonar image which avoids this problem that covers the variation in the target response.
Wenwu Wang, Binbin Cheng, Yao Chen
openaire   +1 more source

SI-GAT: Enhancing Side-Scan Sonar Image Classification Based on Graph Structure

IEEE Sensors Journal
Underwater target classification based on side-scan sonar (SSS) imagery holds significant military and civilian applications. However, challenges, such as low sonar image resolution and limited target features, pose substantial difficulties in the ...
Can Lei, Huigang Wang, Juan Lei
semanticscholar   +1 more source

S3Simulator: A benchmarking Side Scan Sonar Simulator dataset for Underwater Image Analysis

International Conference on Pattern Recognition
Acoustic sonar imaging systems are widely used for underwater surveillance in both civilian and military sectors. However, acquiring high-quality sonar datasets for training Artificial Intelligence (AI) models confronts challenges such as limited data ...
Kamal Basha, Athira Nambiar
semanticscholar   +1 more source

Computer vision methods for side scan sonar imagery

Measurement science and technology
Side-scan sonar (SSS) data presents a significant challenge to analysts due to the size of the material that requires processing. Automatic recognition systems can help in the interpretation and filtration of the data, reducing the time needed for ...
Michal Motylinski, A. Plater, J. Higham
semanticscholar   +1 more source

Historical development of side scan sonar

The Journal of the Acoustical Society of America, 2017
The seabed mapping side scan sonar, conceived and developed in the 1950s at the U.S. Navy Mine Defense Laboratory (USNMDL) [Commander and Sternlicht, J. Acoust. Soc. Am. 137, 2307 (2015)], was inspired by the Royal Navy ASDIC Type-162, a late-WWII hull mounted side-looking sonar capable of recording the silhouettes of bottomed U-boats. The commissioned
openaire   +1 more source

Manatee habitat characterization using side-scan sonar

Journal of the Marine Biological Association of the United Kingdom, 2019
AbstractIdentifying benthic substrates is important to researchers studying aquatic organisms in fresh and salt water systems. Benthic substrates are often not visible from the surface making it necessary to find another method to gather these data.
Mindy J. McLarty   +3 more
openaire   +1 more source

A Level Set Method With Heterogeneity Filter for Side-Scan Sonar Image Segmentation

IEEE Sensors Journal
Small underwater target detection from sonar images remains a challenging task. In this article, a novel level-set-based image segmentation algorithm combined with heterogeneity filter is proposed to segment target from original sonar images.
Meiyan Zhang   +3 more
semanticscholar   +1 more source

Geometrical Correction of Side-scan Sonar Images

2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE), 2018
The underwater environment makes object-detection missions difficult. Side-scan Sonar (SSS) has been found to be suitable for seabed scanning missions, however the sonar images acquired from SSS often suffer from considerable noise and geometrical distortion, which changes the understanding of the texture, size, and shape of seabed objects. In order to
Tal Sheffer, Hugo Guterman
openaire   +1 more source

Intensity correction of Side-Scan Sonar images

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), 2014
This paper presents a new method to remove the effects of uneven ensonification in Side-Scan Sonar (SSS) acoustic images, facilitating their use in underwater robotics. A Lambertian model is used for the sonar scattering process, relating the received echo with the ensonification intensity, the sea bed reflectivity and the incidence angle.
Antoni Burguera, Gabriel Oliver
openaire   +1 more source

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