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Relevant bibliographies by topics / Multibeam sonar (MBS) systems

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Academic literature on the topic 'Multibeam sonar (MBS) systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 January 2023

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Journal articles on the topic "Multibeam sonar (MBS) systems"

1

Zhang, Wanyuan, Tian Zhou, Chao Xu, and Meiqin Liu. "A SIFT-Like Feature Detector and Descriptor for Multibeam Sonar Imaging." Journal of Sensors 2021 (July 15, 2021): 1–14. http://dx.doi.org/10.1155/2021/8845814.

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Multibeam imaging sonar has become an increasingly important tool in the field of underwater object detection and description. In recent years, the scale-invariant feature transform (SIFT) algorithm has been widely adopted to obtain stable features of objects in sonar images but does not perform well on multibeam sonar images due to its sensitivity to speckle noise. In this paper, we introduce MBS-SIFT, a SIFT-like feature detector and descriptor for multibeam sonar images. This algorithm contains a feature detector followed by a local feature descriptor. A new gradient definition robust to sp

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Moszynski, Marek, Andrzej Chybicki, Marcin Kulawiak, and Zbigniew Lubniewski. "A novel method for archiving multibeam sonar data with emphasis on efficient record size reduction and storage." Polish Maritime Research 20, no. 1 (2013): 77–86. http://dx.doi.org/10.2478/pomr-2013-0009.

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Abstract Over the past few years considerable advances in sonar technology, spatial positioning capabilities and computer processing power have lead to significant improvements in mapping, imaging and technologies of seafloor exploration. Recently, modern multibeam echosounder systems (MBES) capable of recording backscatter data for the whole water column, not just for the seabed, have become available thus providing data allowing for visualization and analysis of objects other than the seabed such as single fish, fish schools or pollution. Unlike bathymetric sonars, which only capture the sea

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3

Lockhart, Doug, Edward Saade, and Jerry Wilson. "New Developments in Multibeam Backscatter Data Collection and Processing." Marine Technology Society Journal 35, no. 4 (2001): 46–50. http://dx.doi.org/10.4031/002533201788057973.

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Recognition of the superior data and coverage from multibeam echosounders (MBES) has been widespread and is increasing rapidly. In addition to the significant value of ensonification of a swath as compared to a profile of bathymetric data, the acoustic data have been frequently presented as "psuedo-sidescan-sonar". Field programs conducted during 2001 using Reson MBES systems and TritonElics software gave us the opportunity to develop enhanced acoustic imagery by manipulation of the backscatter information within each MBES beam. This work has resulted in improved MBES data products using new a

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Wei, Bo, Haisen Li, Tian Zhou, and Siyu Xing. "Obtaining 3D High-Resolution Underwater Acoustic Images by Synthesizing Virtual Aperture on the 2D Transducer Array of Multibeam Echo Sounder." Remote Sensing 11, no. 22 (2019): 2615. http://dx.doi.org/10.3390/rs11222615.

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In recent decades, imaging sonar has been the most widely employed remote sensing instruments in the field of underwater detection. The multibeam echo sounder (MBES) plays an important role in obtaining high-accuracy seabed topography. However, the resolution of the MBES substantially decreases with the increasing distance. Synthetic aperture sonar (SAS) achieves constant resolution on the along-track, improving the fineness of the image. However, conventional side-scan SAS usually only achieves 2D images, and gaps always exist. In this modeling and experimental research paper, we propose a no

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5

Zirek, E., and F. Sunar. "Change Detection Of Seafloor Topography By Modeling Multitemporal Multibeam Echosounder Measurements." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7 (September 19, 2014): 221–27. http://dx.doi.org/10.5194/isprsarchives-xl-7-221-2014.

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The term "topography" implies the study of numerous landforms that exist on or below the Earth and a detailed knowledge of topography is required to understand the most Earth processes. In the oceans, sea floor topography refers the geographic features of the sea floor including the configuration of a surface and the position of its natural and man-made features; and detailed nautical charts are fundamental for many sciences such as physical oceanography, biology and marine geology. <br><br> The hydrographic offices, which use the Multi Beam Echo sounder (MBE) system for the establ

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Leifer, Ira, Denis Chernykh, Natalia Shakhova, and Igor Semiletov. "Sonar gas flux estimation by bubble insonification: application to methane bubble flux from seep areas in the outer Laptev Sea." Cryosphere 11, no. 3 (2017): 1333–50. http://dx.doi.org/10.5194/tc-11-1333-2017.

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Abstract. Sonar surveys provide an effective mechanism for mapping seabed methane flux emissions, with Arctic submerged permafrost seepage having great potential to significantly affect climate. We created in situ engineered bubble plumes from 40 m depth with fluxes spanning 0.019 to 1.1 L s−1 to derive the in situ calibration curve (Q(σ)). These nonlinear curves related flux (Q) to sonar return (σ) for a multibeam echosounder (MBES) and a single-beam echosounder (SBES) for a range of depths. The analysis demonstrated significant multiple bubble acoustic scattering – precluding the use of a th

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Wan, Jiaxin, Zhiliang Qin, Xiaodong Cui, et al. "MBES Seabed Sediment Classification Based on a Decision Fusion Method Using Deep Learning Model." Remote Sensing 14, no. 15 (2022): 3708. http://dx.doi.org/10.3390/rs14153708.

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High-precision habitat mapping can contribute to the identification and quantification of the human footprint on the seafloor. As a representative of seafloor habitats, seabed sediment classification is crucial for marine geological research, marine environment monitoring, marine engineering construction, and seabed biotic and abiotic resource assessment. Multibeam echo-sounding systems (MBES) have become the most popular tool in terms of acoustic equipment for seabed sediment classification. However, sonar images tend to consist of obvious noise and stripe interference. Furthermore, the low e

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Di Maida, Germana, Agostino Tomasello, Filippo Luzzu, et al. "Discriminating between Posidonia oceanica meadows and sand substratum using multibeam sonar." ICES Journal of Marine Science 68, no. 1 (2010): 12–19. http://dx.doi.org/10.1093/icesjms/fsq130.

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Abstract Di Maida, G., Tomasello, A., Luzzu, F., Scannavino, A., Pirrotta, M., Orestano, C., and Calvo, S. 2011. Discriminating between Posidonia oceanica meadows and sand substratum using multibeam sonar. – ICES Journal of Marine Science, 68: 12–19. High-resolution, multibeam sonar (MBS) (455 kHz) was used to identify two typologies of seabed 8 m deep: Posidonia oceanica meadow and sandy substratum. The results showed that the heterogeneity of the architecture of the P. oceanica canopy and the relatively simple morphology of a sandy substratum can be detected easily by statistical indices suc

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Leary, Kate C. P., and Daniel Buscombe. "Estimating sand bed load in rivers by tracking dunes: a comparison of methods based on bed elevation time series." Earth Surface Dynamics 8, no. 1 (2020): 161–72. http://dx.doi.org/10.5194/esurf-8-161-2020.

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Abstract. Quantifying bed-load transport is paramount to the effective management of rivers with sand or gravel-dominated bed material. However, a practical and scalable field methodology for reliably estimating bed load remains elusive. A popular approach involves calculating transport from the geometry and celerity of migrating bedforms, extracted from time series of bed elevation profiles (BEPs) acquired using echo sounders. There are various echo sounder sampling methodologies to extract bed elevation profiles. Using two sets of repeat multibeam sonar surveys with high spatiotemporal resol

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10

Gavrilov, Alexander N., and Iain M. Parnum. "Fluctuations of Seafloor Backscatter Data From Multibeam Sonar Systems." IEEE Journal of Oceanic Engineering 35, no. 2 (2010): 209–19. http://dx.doi.org/10.1109/joe.2010.2041262.

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