Spatial outliers detection algorithm (SODA) applied to multibeam bathymetric data processing



Document title: Spatial outliers detection algorithm (SODA) applied to multibeam bathymetric data processing
Journal: Boletim de ciencias geodesicas
Database: PERIÓDICA
System number: 000459983
ISSN: 1413-4853
Authors: 1
1
1
1
2
Institutions: 1Universidade Federal de Vicosa, Departamento de Engenharia Civil, Vicosa, Minas Gerais. Brasil
2Universidade Federal de Vicosa, Departamento de Estatística, Vicosa, Minas Gerais. Brasil
Year:
Volumen: 25
Number: 4
Country: Brasil
Language: Inglés
Document type: Artículo
Approach: Analítico, descriptivo
English abstract The amount of data produced in an echosounder has increased dramatically with scanning systems such as multibeam echo sounders and interferometric sonars, providing a considerable improvement in the submerged terrain representation, especially when it comes to detecting hazardous objects to the navigator. However, the available processing algorithms did not come along with this evolution; manual processing or, at least, constant intervention is usually necessary, which makes this task arduous with a high degree of subjectivity. In addition, statistical inconsistencies do not appear to be uncommon in most of the algorithms and filters available. Thus, SODA (Spatial Outliers Detection Algorithm) was recently presented, being a methodology directed, at first, to echosounder data treatment. Considering this, this article aims to evaluate the SODA efficiency for real data treatment from a multibeam sonar. SODA, in some cases, was capable to identify up to 74% of spikes with the δ-Method, which means that this technique detected 28 out of the 38 confirmed spikes in the data set, reassuming the methodology strength regarding the search for spikes in echosounder data
Disciplines: Geociencias
Keyword: Geodesia,
Spikes,
Valores atípicos,
Sonar multihaz,
Tratamiento de datos multihaz
Keyword: Geodesy,
Spikes,
Outliers,
Multibeam sonar,
Multibeam Data Processing
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