OCEANS'10 IEEE SYDNEY最新文献_第10页

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

X-Band radar derived sea surface elevation maps as input to ship motion forecasting x波段雷达导出海面高程图作为船舶运动预报的输入

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603968

K. Reichert, J. Dannenberg, Henk J. J. van den Boom

{"title":"X-Band radar derived sea surface elevation maps as input to ship motion forecasting","authors":"K. Reichert, J. Dannenberg, Henk J. J. van den Boom","doi":"10.1109/OCEANSSYD.2010.5603968","DOIUrl":"https://doi.org/10.1109/OCEANSSYD.2010.5603968","url":null,"abstract":"Nautical X-Band radars used for navigation can also be used to determine spectral and individual wave properties. The sea surface reflects the incident radar beams and wave fronts become visible as stripe like pattern of high back scatter on the radar screen. When connected to a conventional nautical X-Band radar, the Wave Monitoring System WaMoS II exploits this imaging of waves to detect full directional wave spectra and to derive statistical sea state parameters as well as surface currents. WaMoS II is continuously improved with new features being developed. In particular, the sea surface elevation maps derived by WaMoS II allow to investigate and describe the spatial and temporal development of 3D ocean surface waves. The European Joint Industry Project ‘On board Wave and Motion Estimator (OWME)’ used this measurement technique to provide the wave information that is required to predict periods of quiescent vessel motions. A task that offers valuable support for various offshore operations like e.g. the tensioning of a tanker or the landing of a helicopter. This contribution gives an overview of the overall OWME system design showing first validation results, focusing on the method to derive wave trains using the WaMoS II system.","PeriodicalId":129808,"journal":{"name":"OCEANS'10 IEEE SYDNEY","volume":"258 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":"114479346","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

Mapping the fine-scale shallow water bathymetry of the Great Barrier Reef using ALOS AVNIR-2 data 利用ALOS AVNIR-2数据绘制大堡礁精细浅水水深图

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603803

S. Sagar, M. Wettle

引用次数: 2

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

Acoustic communications for deep-ocean observatories: Results of initial testing at the MBARI MARS node 深海观测站的声学通信:MBARI火星节点的初步测试结果

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603958

L. Freitag, K. Ball, P. Koski, Sandipa Singh, E. Gallimore

引用次数: 3

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

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

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

ConSys - a new software framework for underwater vehicles ConSys -一个新的水下航行器软件框架

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603620

T. Pfuetzenreuter, Helge Renkewitz

引用次数: 9

Collision free formation control for multiple autonomous underwater vehicles 多自主水下航行器的无碰撞编队控制

OCEANS'10 IEEE SYDNEY Pub Date : 2010-05-24 DOI: 10.1109/OCEANSSYD.2010.5603540

Shi-bo Fan, Zhengping Feng, L. Lian

引用次数: 8