scholarly journals A comparison of bathymetry mapped with the Simrad ME70 multibeam echosounder operated in bathymetric and fisheries modes

2010 ◽  
Vol 67 (6) ◽  
pp. 1301-1309 ◽  
Author(s):  
George R. Cutter ◽  
Laurent Berger ◽  
David A. Demer
Keyword(s):  
Software Development ◽  
Data Processing ◽  
Bay Of Biscay ◽  
Marine Science ◽  
Dual Use ◽  
Detection Range ◽  
Multibeam Echosounder ◽  
Acoustic Backscattering ◽  
Bathymetric Data ◽  
Phase Data

Abstract Cutter, G. R. Jr, Berger, L., and Demer, D. A. 2010. A comparison of bathymetry mapped with the Simrad ME70 multibeam echosounder operated in bathymetric and fisheries modes. – ICES Journal of Marine Science, 67: 1301–1309. The Simrad ME70 multibeam echosounder was designed for quantitative fisheries research and is currently installed on Ifremer's fishery survey vessel (FSV) “Thalassa” and each of the new, quiet, NOAA FSVs. The ME70 has configurable beams and transmits in the range 70–120 kHz to provide calibrated, acoustic-backscattering data throughout the detection range (fisheries mode, FM). With optional hardware and software, the ME70 can also collect soundings that potentially meet International Hydrographic Organization's S–44 Order 1 standards (bathymetric mode, BM). Furthermore, with custom algorithms and software, bathymetric data can be obtained from the ME70 operating in FM, and volume backscatter can be sampled from the ME70 operating in BM. This flexibility allows data to be concurrently collected on fish and their seabed habitat. A method is described for processing the echo amplitude and phase data from multiple split-beams formed in FM to estimate seabed range, slope, and roughness. The resulting bathymetry is compared with that collected with the ME70 operating in BM in the same area of the Bay of Biscay. A proposal is made for software development to facilitate dual-use data processing.

scholarly journals A Review of Data Cleaning Approaches in a Hydrographic Framework with a Focus on Bathymetric Multibeam Echosounder Datasets

Geosciences ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 254
Author(s):  
Julian Le Deunf ◽  
Nathalie Debese ◽  
Thierry Schmitt ◽  
Romain Billot
Keyword(s):  
Data Processing ◽  
Data Cleaning ◽  
Critical Issue ◽  
Challenging Problem ◽  
Multibeam Echosounder ◽  
Detailed Review ◽  
Bathymetric Data ◽  
Future Developments ◽  
Automatic Methods

Automatic cleaning of MultiBeam EchoSounder (MBES) bathymetric datasets is a critical issue in data processing especially with the objective of nautical charting. A number of approaches have already been investigated in order to provide solution in views of operationally reaching this still challenging problem. This paper aims at providing a comprehensive and structured overview of existing contributions in the literature. For this purpose, a taxonomy is proposed to categorize the whole set of automatic and semi-automatic methods addressing MBES data cleaning. The non-supervised algorithms that compose the majority of the methods developed in the hydrographic field, are mainly described according to both the features of the bathymetric data and the type of outliers to detect. Based on this detailed review, past and future developments are discussed in light of both implementation and test on datasets and metrics used for performances assessment.

scholarly journals Initial Efforts Toward Coordinated Community Data Processing to Accelerate the Growth of Publicly Available Bathymetric Data Products

2020 ◽  
Author(s):  
Vicki Ferrini ◽  
John Morton ◽  
Lindsay Gee ◽  
Erin Heffron ◽  
Hayley Drennon ◽  
...  
Keyword(s):  
Data Processing ◽  
Bathymetric Data ◽  
Data Products ◽  
Community Data

scholarly journals SPATIAL OUTLIERS DETECTION ALGORITHM (SODA) APPLIED TO MULTIBEAM BATHYMETRIC DATA PROCESSING

2019 ◽  
Vol 25 (4) ◽  
Author(s):  
Italo Oliveira Ferreira ◽  
Afonso de Paula dos Santos ◽  
Júlio César de Oliveira ◽  
Nilcilene das Graças Medeiros ◽  
Paulo César Emiliano
Keyword(s):  
Data Processing ◽  
Detection Algorithm ◽  
Bathymetric Data ◽  
Outliers Detection ◽  
Spatial Outliers

Prediksi Tingkat Kelulusan Tepat Waktu Mahasiswa Menggunakan Algoritma Naïve Bayes pada Universitas XYZ

2020 ◽  
Vol 12 (2) ◽  
pp. 104-107
Author(s):  
Nurhayati . ◽  
Nuraeny Septianti ◽  
Nani Retnowati ◽  
Arief Wibowo
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Data Processing ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Bayes Method ◽  
Processing Data ◽  
Student Graduation ◽  
Phase Data ◽  
Bayes Algorithm

Data processing is imperative for the development of information technology. Almost any field of work has information about data. The data is made use of the analysis of the job. Nowadays, information data is imperatively processed to help workers in making decisions. This study discusses student prediction graduation rates by using the naïve Bayes method. That aims at providing information to college if they can use it properly to utilize the data of students who graduated by processing data mining. Based on the data mining process, steps founded that used producing information, namely predicting student graduation on time. The method of this study is Naïve Bayes with classification techniques. At this study, researchers used a six-phase data mining process of industry crossing standards in data mining known as CRISP-DM. The results of research concluded that the application of the Naive Bayes algorithm uses 4 (four) parameters namely ips, ipk, the number of credits, and graduation by getting an accuracy value of 80.95%.

Remote Acoustic Detection of Zooplankton Response to Field Processes, Oceanographic Instrumentation, and Predators

1981 ◽  
Vol 38 (9) ◽  
pp. 1096-1105 ◽  
Author(s):  
Marshall H. Orr
Keyword(s):  
Water Column ◽  
Fluid Motion ◽  
Horizontal Distribution ◽  
Small Scale ◽  
Detection Range ◽  
Predator Prey ◽  
Acoustic Backscattering ◽  
Passive Response ◽  
Lee Waves ◽  
Prey Interaction

A narrow-beam multifrequency acoustic backscattering system operating at discrete frequencies in the 10- to 600-kHz band has been used to detect predator–prey interaction, the passive response of Zooplankton to fluid processes such as internal waves, lee waves, hydraulic jumps, and the response of organisms to the presence of an oceanographic instrument in the water column. The acoustic flow visualization data illustrate the extent of the vertical and horizontal displacements and mixing of organisms by fluid processes. The data suggest that fluid processes may strongly influence predator–prey distribution in the continental shelf and sound regimes and that the interpretation of biological field data should include the influence of small-scale fluid motion on the vertical and horizontal distribution of organisms and nutrients. The predator–prey interaction data indicate that small organisms will move 7–20 m in the vertical to avoid larger organisms. Organisms appear to be able to detect the presence of oceanographic instruments to ranges of [Formula: see text]. At this time it is not known whether the organism detection range is related to the optical properties of the water column or other physical parameters.Key words: acoustic, Zooplankton, fluid processes, predator–prey interaction

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