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RepDNet:A re-parameterization despeckling network for autonomous underwater side-scan sonar imaging with prior-knowledge customized convolution

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Defence Technology（防务技术） 2024年第5期35卷 259-274页

作者： Zhuoyi Li Zhisen Wang Deshan Chen Tsz Leung Yip Angelo P.Teixeira Department of Logistics and Maritime Studies The Hong Kong Polytechnic UniversityChina State Key Laboratory of Maritime Technology and Safety Wuhan University of TechnologyChina School of Transportation and Logistics Engineering Wuhan University of TechnologyChina National Engineering Research Center for Water Transport Safety Wuhan University of TechnologyChina Centre for Marine Technology and Ocean Engineering(CENTEC) Instituto Superior TecnicoUniversidade de LisboaPortugal

side-scan sonar(SSS)is now a prevalent instrument for large-scale seafloor topography measurements,deployable on an autonomous underwater vehicle(AUV)to execute fully automated underwater acoustic scanning imaging along a predetermined ***,SSS images often suffer from speckle noise caused by mutual interference between echoes,and limited AUV computational resources further hinder noise *** approaches for SSS image processing and speckle noise reduction rely heavily on complex network structures and fail to combine the benefits of deep learning and domain *** address the problem,Rep DNet,a novel and effective despeckling convolutional neural network is *** DNet introduces two re-parameterized blocks:the Pixel Smoothing Block(PSB)and Edge Enhancement Block(EEB),preserving edge information while attenuating speckle *** training,PSB and EEB manifest as double-layered multi-branch structures,integrating first-order and secondorder derivatives and smoothing *** inference,the branches are re-parameterized into a 3×3 convolution,enabling efficient inference without sacrificing *** DNet comprises three computational operations:3×3 convolution,element-wise summation and Rectified Linear Unit *** on benchmark datasets,a real SSS dataset and Data collected at Lake Mulan aestablish Rep DNet as a well-balanced network,meeting the AUV computational constraints in terms of performance and latency.

关键词： side-scan sonar sonar image despeckling Domain knowledge Re-parameterization

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Multi-beam sonar and side-scan sonar Image Co-registering and Fusing

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Marine Science Bulletin 2003年第1期5卷 16-23页

作者：阳凡林刘经南赵建虎 GPS Engineering Research Center Wuhan University Wuhan 430079 Presidential Secretariat Wuhan University Wuhan 430079

Multi-beam sonar and side-scan sonar compensate each other. In order to fully utilize all information, it is necessary to fuse two kinds of image and data. And the image co-registration is an important and complicated job before fusion. This paper suggests combining bathymetric data with intensity image, obtaining the characteristic points through the minimal angles of lines, and then deciding the corresponding image points by the maximal correlate coefficient in searching space. Finally, the second order polynomial is applied to the deformation model. After the images have been co-registered, Wavelet is used to fuse the images. It is shown that this algorithm can be used in the flat seafloor or the isotropic seabed. Verification is made in the paper with the observed data.

关键词： Multi-beam sonar side-scan sonar Co-registering Fusion

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Pre-rig mobilization hazard evaluation in offshore oil and gas prospect drilling:A case study of TM field,offshore Niger Delta

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能源地球科学(英文) 2023年第1期4卷 158-178页

作者： Oluwatimilehin B.Balogun Olajumoke C.Akintokewa Department of Geosciences Mountain Top UniversityPrayer CityOgun StateNigeria Department of Geology Obafemi Awolowo UniversityIle-IfeNigeria

TM Field,located offshore Niger Delta in the Gulf of Guinea(Nigeria),has been evaluated for potential drilling hazards prior to the drilling of a proposed oil *** is in a region where potential hazards that could inhibit successful drilling exercise have not been adequately *** study adopted the modern technique of offshore geohazard evaluation that relies mainly on suites of geophysical and shallow geological investigations which include ocean bathymetry using multi-beam echo sounder,sidescan sonar,sub-bottom profiler,magnetic,and 2D-high resolution seismic reflection *** results were integrated to draw inferences about the risk potential of the *** the bathymetric survey,water depths were found to range from 345 m to 650 m LAT,with seabed relief being 305 *** depth at the proposed well location was found to be approximately 450 m and the seabed was found to slope in the northwestern *** gradient was computed as 0.05 across the whole *** shallow sub-surface stratigraphic units,labelled A and B,were *** A was directly beneath the seafloor and seemed to be composed mainly of clayey/silty *** thickness ranged from 6 m to 70 m across the study *** B appeared to be a layer of sand and its total thickness was not fully *** kinks and displacements at the flanks of seabed undulations/depressions on subbottom profiler sections suggested that the depressions may be *** the map generated from the marine magnetic data,a magnetic fault was delineated and this appeared to be coincident with the shallower of the two buried faults on the cross-line seismic section cutting through the proposed well-head *** seismic reflection data presented this fault as being *** of the faults mapped,especially the buried ones,appeared to be inactive except a *** with mapped amplitude anomalies are to be avoided during rig-mobilization *** e

关键词： Pre-rig mobilisation Ocean bathymetry side-scan sonar Sub-bottom profiler Marine magnetic survey Amplitude anomalies

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UXO Assessment on the Romanian Black Sea Coast

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Journal of Marine Science 2022年第2期4卷 7-17页

作者： Laurențiu-Florin Constantinoiu Eugen Rusu Maria-Emanuela Mihailov NATO Maritime Geospatial Meteorologic and Oceanographic Centre of Excellence Rua das TrinasLisbonPortugal Department of Mechanical Engineering Faculty of Engineering“Dunărea de Jos”University of GalatiGalati800008Romania Maritime Hydrographic Directorate Fulgerului St.ConstantaRomania

This paper aims to provide the reader with the results of the Unexploded Ordnance(UXO)survey of the defensive historical naval minefields launched by the Romanian and German Navies on the Romanian Black Sea coast,during the Second World *** UXO survey was carried out between 2015-2018 by the Romanian Navy’s hydrographic ship“Commander Alexandru Cătuneanu”and Romanian Mine Warfare Data Center,using towed side-scan sonar technology and oceanographic *** explaining the materials and methodology,the results are presented and discussed:mosaics of the minefields,side-scan images of UXO contacts,side-scan images of the wrecks that were sunk in the minefields and some visible natural geological features of the *** was concluded that most of the objects discovered are sinkers,wreck debris or parts of chains,which does not represent a danger to navigation.

关键词： Unexploded Ordnance Black Sea side-scan sonar UXO survey Romanian Navy Historical minefield Second World War Mine Warfare Data Center

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