OCEANS'10 IEEE SYDNEY最新文献_第9页

Forward looking sonar data simulation through tube tracing 通过管迹模拟前视声纳数据

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603867

D. Guériot, C. Sintes

{"title":"Forward looking sonar data simulation through tube tracing","authors":"D. Guériot, C. Sintes","doi":"10.1109/OCEANSSYD.2010.5603867","DOIUrl":"https://doi.org/10.1109/OCEANSSYD.2010.5603867","url":null,"abstract":"Simulating realistic sonar data is crucial for tuning detection and classification algorithms according to environment and acquisition characteristics. Moreover, robustness of performances estimation and prediction applications can be greatly enhanced as soon as such a simulation tool provides both a modular underwater world representation (multiple sensors, environments and acquisition conditions) and a selection of several computational engines (ray theory, parabolic equation, …). Therefore, we developed such a framework for simulators, allowing both scene design and computational engine choice. Within it, two engines (one for rays, one for tubes) has been successfully implemented and realistic simulations obtained, as shown in the presented simulated sonar images. This paper introduces the simulation of a new imaging sensor (DIDSON acoustic camera) showing the extensibility of the proposed framework while providing realistic and specific front-looking simulated images. Moreover, in order to bypass the scene resolution given by the facet sizes, some georeferenced perturbations are introduced in order to model sub-facet behaviors and produce more realistic responses from the scene with micro and macro textures on the output images.","PeriodicalId":129808,"journal":{"name":"OCEANS'10 IEEE SYDNEY","volume":"4 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121000003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Seabed topographic contour match based on angle code technique 基于角度编码技术的海底地形等高线匹配

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603548

Hongmei Zhang, Jianhu Zhao, Kun Yang, Chunhe Tian

引用次数: 0

Reactive AUV motion for thermocline tracking 用于温跃层跟踪的反应式AUV运动

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603883

N. Cruz, A. Matos

引用次数: 22

Statistical clustering Of curves in the geosciences - the answer to everything? 地球科学中曲线的统计聚类——一切的答案?

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603858

L. Hamilton

{"title":"Statistical clustering Of curves in the geosciences - the answer to everything?","authors":"L. Hamilton","doi":"10.1109/OCEANSSYD.2010.5603858","DOIUrl":"https://doi.org/10.1109/OCEANSSYD.2010.5603858","url":null,"abstract":"Classification and exploration of large geodata sets consisting of tens to hundreds of thousands of single valued curves, e.g. oceanic wave spectra and grain size distributions, is often made through use of features or proxy parameters extracted from the curves. Feature extraction is typically enabled through curve fitting, and hence implicit or explicit application of a statistical model. Principal Components Analysis (PCA) is commonly applied to the proxies or to the curves as a dimensional reduction measure, and the first few principal components are used as the final classification features. Statistical clustering is then applied to the selected proxies or principal components to produce groups or classes which best describe the properties of the proxy data set, usually in a least squares sense. A far simpler and model free technique is to directly cluster the curves themselves. The curves are essentially treated as geometric entities, and calculation of features or proxies is unnecessary. The methodology for this concept is outlined, and is demonstrated for several geodata sets, ranging in size from a hundred objects to several tens of thousands, and for spatial scales of several tens of metres to the South Pacific ocean basin.","PeriodicalId":129808,"journal":{"name":"OCEANS'10 IEEE SYDNEY","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126898723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Autonomous detection and volume determination of tubeworm colonies from underwater robotic surveys 水下机器人调查中管虫群落的自主检测和体积测定

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603871

T. Maki, A. Kume, T. Ura, T. Sakamaki, Hideyuki Suzuki

{"title":"Autonomous detection and volume determination of tubeworm colonies from underwater robotic surveys","authors":"T. Maki, A. Kume, T. Ura, T. Sakamaki, Hideyuki Suzuki","doi":"10.1109/OCEANSSYD.2010.5603871","DOIUrl":"https://doi.org/10.1109/OCEANSSYD.2010.5603871","url":null,"abstract":"Although the vast amount of information collected by AUVs brings significant benefit to oceanographic research, it is necessary to develop methods to analyze the large volumes of data, in order to avoid accumulation of unused information. Automatic data processing and analysis are key technologies necessary to cope with this problem. We propose a robust, automated method for detection and volume determination of tubeworm colonies using visual and geometric features obtained during underwater robotic surveys, on the condition that the position of the sensors are provided. The tubeworm is a characteristic benthos of hydrothermal vent fields. The proposed method achieves robustness against sensor noise by using both geometric and visual features for identification. First, the tubeworm candidates are obtained as a three-dimensional region between the measured bathymetry of the region and an estimation of the seafloor topology without tubeworms. Next, the tubeworm candidates are verified through frequency analysis of corresponding images. The performance of this method was verified using a data set obtained by the AUV Tri-Dog 1 at Tagiri vent field, Kagoshima bay in Japan.","PeriodicalId":129808,"journal":{"name":"OCEANS'10 IEEE SYDNEY","volume":"55 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125991732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Development of an intelligent autonomous underwater vehicle, P-SURO 智能自主水下航行器P-SURO的开发

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603593

Ji-Hong Li, Byungho Yoon, Seung-Sub Oh, Jungsan Cho, Jong-Geol Kim, Munjik Lee, Jungwoo Lee

引用次数: 7

Coverage path planning for harbour seabed surveys using an autonomous underwater vehicle 基于自主水下航行器的港口海底测量覆盖路径规划

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603591

Cheng Fang, S. Anstee

引用次数: 42

Improving anti-submarine warfare sonar performance modelling using BLUElink forecast environmental data 利用BLUElink预测环境数据改进反潜战声纳性能建模

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603570

J. R. Exelby, H. Vu

引用次数: 0

Pressure tolerant systems for deep sea applications 深海应用的耐压系统

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603538

Martin Luck, M. Buscher, H. Lehr, C. Thiede, G. Korner, Jochen Martin, Marion Schlichting, S. Kruger, Hartmut Huth

引用次数: 6

Software development for the determination of instantaneous height of transducer based on the blend of GPS height and heave 基于GPS高度和升沉混合的传感器瞬时高度测定软件开发

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603820

Hongmei Zhang, Jianhu Zhao, Baohua Xu

引用次数: 0