IEEE Journal of Oceanic Engineering最新文献_第8页

Blurriness-Guided Underwater Salient Object Detection and Data Augmentation 模糊引导的水下突出物体探测和数据增强

IF 3.8 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-03-05 DOI: 10.1109/JOE.2023.3344154

Yan-Tsung Peng;Yu-Cheng Lin;Wen-Yi Peng;Chen-Yu Liu

引用次数: 0

Data Rate Performance of Mobile Multiuser MIMO Underwater Acoustic Communication Systems 移动多用户 MIMO 水下声学通信系统的数据速率性能

IF 4.1 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-02-27 DOI: 10.1109/joe.2023.3331774

Antony Pottier, Pierre-Jean Bouvet, Beatrice Tomasi, Charles Vanwynsberghe

引用次数: 0

Adaptive Zigzag Mapping of a Patchy Field by a Long-Range Autonomous Underwater Vehicle 远距离自主潜水器对斑块区域进行自适应之字形测绘

IF 4.1 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-02-20 DOI: 10.1109/JOE.2023.3338694

Yanwu Zhang;Brett W. Hobson;Brian Kieft;Michael A. Godin;Thomas Ravens;Michael Ulmgren

{"title":"Adaptive Zigzag Mapping of a Patchy Field by a Long-Range Autonomous Underwater Vehicle","authors":"Yanwu Zhang;Brett W. Hobson;Brian Kieft;Michael A. Godin;Thomas Ravens;Michael Ulmgren","doi":"10.1109/JOE.2023.3338694","DOIUrl":"10.1109/JOE.2023.3338694","url":null,"abstract":"Spatial heterogeneity and temporal evolution are intrinsic features of some important oceanic processes, e.g., harmful algal blooms and oil spills, where aggregations of organisms or materials are localized and noncontinuous. In a sparse patchy field, routine lawnmower-mode or zigzag surveys by ships or autonomous platforms are not efficient since a large proportion of the survey time is spent on no-patch areas. We developed an adaptive zigzag algorithm for an autonomous underwater vehicle (AUV) to map patchy fields more efficiently than routine zigzag surveys. An AUV autonomously detects the peak and the edge of a patch, and accordingly determines when to turn onto the next zigzag leg. The AUV sweeps through the field on successive zigzag legs. Using an oil spill model data set, the performance of adaptive zigzag surveys is compared with that of routine zigzag surveys. In April 2022, the algorithm was tested on a long-range AUV through a 16-h survey in Monterey Bay, CA, USA, by reading the oil spill model data as the virtual measurement in real time.","PeriodicalId":13191,"journal":{"name":"IEEE Journal of Oceanic Engineering","volume":"49 2","pages":"403-415"},"PeriodicalIF":4.1,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10440570","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139945662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Probability-Based Complex-Valued Fast Iterative Shrinkage-Thresholding Algorithm for Deconvolution Beamforming 用于解卷积波束成形的基于概率的复值快速迭代收缩阈值算法

IF 4.1 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-02-15 DOI: 10.1109/JOE.2023.3339800

Shiyao Jiang;Rongxin Jiang;Xuesong Liu;Boxuan Gu;Yaowu Chen

引用次数: 0

Wave Energy Converter Power Take-Off Modeling and Validation From Experimental Bench Tests 波浪能转换器功率输出建模及实验台测试验证

IF 4.1 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-02-15 DOI: 10.1109/JOE.2023.3345903

Simone Giorgi;Ryan G. Coe;Meagan M. Reasoner;Giorgio Bacelli;Dominic D. Forbush;Scott Jensen;François Cazenave;Andrew Hamilton

引用次数: 0

Prior-Based Underwater Enhanced Image Quality Assessment Network 基于先验的水下增强图像质量评估网络

IF 4.1 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-02-15 DOI: 10.1109/JOE.2024.3351235

Zheyin Wang;Liquan Shen;Zhengyong Wang;Yufei Lin;Jinbo Chen

{"title":"Prior-Based Underwater Enhanced Image Quality Assessment Network","authors":"Zheyin Wang;Liquan Shen;Zhengyong Wang;Yufei Lin;Jinbo Chen","doi":"10.1109/JOE.2024.3351235","DOIUrl":"10.1109/JOE.2024.3351235","url":null,"abstract":"Underwater images generally suffer from color cast and haze effects due to light attenuation and scattering, which leads to image quality degradation and poor recognition of image content by autonomous machines. Most of the existing enhancement algorithms try to remove these distortions of underwater images but do not perform perfectly. Moreover, there is no quality evaluation metric that can accurately measure the quality of these enhanced results. Thus, accurately evaluating the enhanced image quality is one of the urgent problems to be solved in underwater imaging research. In this article, a prior-based underwater enhanced image quality assessment network is proposed to measure the quality of those enhanced images objectively. First, underwater imaging priors, including object–camera distance map, ambient light, absorption and scattering parameters, surface–object distance, etc., directly affect the degree of color cast and haze effect in underwater images. Since the underwater raw image is available in the image enhancement task, a novel prior estimation network is designed to estimate these prior parameters from underwater raw images and obtain reliable prior information. Second, a novel prior guidance module is designed to guide these prior features to the enhanced image quality assessment network by simulating the underwater physical model. Ultimately, the quality of the enhanced image can be accurately evaluated through the end-to-end network. Furthermore, experiments show that the prior information can make the quality assessment network pay more attention to the content and distortion of the image, so as to evaluate the quality of the enhanced image more accurately. Extensive experiments on authentic data sets demonstrate the superiority of our model against other representative state-of-the-art models in both quantitative and qualitative results.","PeriodicalId":13191,"journal":{"name":"IEEE Journal of Oceanic Engineering","volume":"49 2","pages":"592-605"},"PeriodicalIF":4.1,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139946014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis and Compensation of Acoustic Rolling Shutter Effect of Acoustic-Lens-Based Forward-Looking Sonar 基于声学透镜的前视声纳的声学卷帘效应分析与补偿

IF 4.1 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-02-14 DOI: 10.1109/JOE.2023.3341466

Jiayi Su;Jingyu Qian;Xingbin Tu;Fengzhong Qu;Yan Wei

{"title":"Analysis and Compensation of Acoustic Rolling Shutter Effect of Acoustic-Lens-Based Forward-Looking Sonar","authors":"Jiayi Su;Jingyu Qian;Xingbin Tu;Fengzhong Qu;Yan Wei","doi":"10.1109/JOE.2023.3341466","DOIUrl":"10.1109/JOE.2023.3341466","url":null,"abstract":"As the demand for ocean observations increases, the quality requirements for sonar imaging are becoming increasingly exacting. The temporal synthesis strategy provides the acoustic-lens-based forward-looking sonar (ALFLS) with ultrahigh resolution but also causes the imaging content to be distorted when the sonar is moving at a high speed. This limits the application of sonar to low-speed or stationary underwater inspections. In this article, we formally define this distortion effect for the first time as an acoustic rolling shutter (ARS) effect and use implicit neural representation to naturally recover and represent acoustic images in a rectangular coordinate system for visual representation or subsequent computer tasks, e.g., image registration and image mosaicing. The method is self-supervised and involves only a single image, without the need for any external data input, e.g., from a global positioning system and a Doppler velocity log. We validate the effectiveness of the proposed method using experimental field data and reveal the potential application of this technique to underwater robot vision.","PeriodicalId":13191,"journal":{"name":"IEEE Journal of Oceanic Engineering","volume":"49 2","pages":"474-486"},"PeriodicalIF":4.1,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139946025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Secret Underwater Acoustic Key Generation Challenged by Eve's Simulator 神秘的水下声学密钥生成受到夏娃模拟器的挑战

IF 4.1 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-02-14 DOI: 10.1109/joe.2023.3281978

Se莽kin Yldrm, Konstantinos Pelekanakis, George Sklivanitis, Dimitris A. Pados, Pietro Paglierani, Roberto Petroccia, Jo茫o Alves, Francesco Molfese, Francesca Cuomo

{"title":"Secret Underwater Acoustic Key Generation Challenged by Eve's Simulator","authors":"Se莽kin Yldrm, Konstantinos Pelekanakis, George Sklivanitis, Dimitris A. Pados, Pietro Paglierani, Roberto Petroccia, Jo茫o Alves, Francesco Molfese, Francesca Cuomo","doi":"10.1109/joe.2023.3281978","DOIUrl":"https://doi.org/10.1109/joe.2023.3281978","url":null,"abstract":"Symmetric cryptography is the de-facto approach to information security for ad-hoc underwater acoustic networks. The requirement is that all network nodes possess the same cryptographic keys and key distribution that happens offline. Thus, it is hardly possible to include a new keyless node during network operation. In addition, online key replenishment is an open problem. In this article, we tackle key distribution/replenishment by formulating a new protocol that generates a key between two trusted underwater acoustic nodes (Alice and Bob) without the need to exchange the key itself. The proposed protocol initially extracts common acoustic channel features between Alice and Bob after some signal exchanges. Then, each party uses these features to generate his/her own secret bits via a random sequence generator. To correct any differences in their secret bits, we propose two reconciliation methods that employ Reed–Solomon codes. At the last step of the protocol, a 256-bit cryptographic key is generated by feeding the reconciled secret bit string to the Secure Hash Algorithm 3. We evaluate the key generation rate of the proposed protocol with real acoustic data recorded from a littoral environment, in which Alice and Bob exchanged 915 channel probes over different link geometries. To assess security performance, we invent a passive eavesdropper, Eve, who is able to simulate the acoustic link between Alice and Bob. She uses her simulated channels and the same protocol to generate her keys. Our analysis demonstrates a tradeoff between the key generation rate of Alice and Bob and Eve's ability to extract the same key. Our best result shows that Alice and Bob can independently generate 567 keys out of 915 attempts while Eve does not have access to any of the keys.","PeriodicalId":13191,"journal":{"name":"IEEE Journal of Oceanic Engineering","volume":"165 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142200230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transmission of High-Definition Video Signals and Detection of the Objects Underwater Using Surface Electromagnetic Waves 利用水面电磁波传输高清视频信号和探测水下物体

IF 4.1 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-02-09 DOI: 10.1109/JOE.2023.3335599

Igor I. Smolyaninov;Quirino Balzano;Mark Barry

引用次数: 0

On the Physical Layer Security of Underwater Optical Wireless Communication Networks 论水下光学无线通信网络的物理层安全

IF 4.1 2区工程技术

IEEE Journal of Oceanic Engineering Pub Date : 2024-02-06 DOI: 10.1109/JOE.2023.3341461

Elmehdi Illi;Marwa Qaraqe

{"title":"On the Physical Layer Security of Underwater Optical Wireless Communication Networks","authors":"Elmehdi Illi;Marwa Qaraqe","doi":"10.1109/JOE.2023.3341461","DOIUrl":"10.1109/JOE.2023.3341461","url":null,"abstract":"This article deals with the secrecy analysis of an underwater optical wireless communication (UOWC) system operating under the presence of underwater turbulence and geometric path loss. The considered system consists of either a single transmit laser diode (LD) and multiple receive photodetectors (PD), i.e., single-input multiple-output (SIMO), employing maximal-ratio combining (MRC) technique, or a multiple-input single-output (MISO) with multiple LDs and a single PD using the maximal-ratio transmission (MRT) precoding scheme. A tight approximate expression for the average secrecy capacity (ASC)'s lower bound is provided in terms of the key system parameters. Results indicate that the system's secrecy can be enhanced by either increasing the number of receive PDs or the legal node's PDs size compared to the illegitimate one, whereby the ASC can exceed 4 b/s/Hz when the legitimate PD diameter is twice the eavesdropper's one. In addition, narrow beams and low water turbidity levels provide optimal secrecy performance. Finally, a comparative analysis between the SIMO-MRC and MISO-MRT schemes shows that the latter outperforms its former counterpart.","PeriodicalId":13191,"journal":{"name":"IEEE Journal of Oceanic Engineering","volume":"49 2","pages":"583-591"},"PeriodicalIF":4.1,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139945842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0