Temat: multibeam sonar - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Multibeam data processing for 3D object shape reconstruction
Autorzy:: Kulawiak, M.
Łubniewski, Z.
Powiązania:: https://bibliotekanauki.pl/articles/332626.pdf
Data publikacji:: 2017
Wydawca:: Polskie Towarzystwo Akustyczne
Tematy:: multibeam sonar
3D reconstruction
point cloud
wrecks
rasterization
Opis:: The technology of hydroacoustic scanning offers an efficient and widely-used source of geospatial information regarding underwater environments, providing measurement data which usually have the structure of irregular groups of points known as point clouds. Since this data model has known disadvantages, a different form of representation based on representing surfaces with simple geometric structures, such as edges and facets, is preferred for data featuring seabed surface relief and various underwater objects. In this paper, the authors propose a multiple-step approach to three-dimensional surface reconstruction from multibeam sonar measurements, relying on the proper application of various algorithms for noise reduction, data rasterization and classification. The results obtained by combining several different surface reconstruction algorithms with the proposed data processing technique were tested, and the strengths and weaknesses of each method were highlighted.
Źródło:: Hydroacoustics; 2017, 20; 105-112
1642-1817
Pojawia się w:: Hydroacoustics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: 3D object shape reconstruction from underwater multibeam data and over ground LiDAR scanning
Autorzy:: Kulawiak, M.
Łubniewski, Z.
Powiązania:: https://bibliotekanauki.pl/articles/260564.pdf
Data publikacji:: 2018
Wydawca:: Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:: multibeam sonar
laser scanning
three dimensional reconstruction
point cloud
triangulation
Opis:: The technologies of sonar and laser scanning are an efficient and widely used source of spatial information with regards to underwater and over ground environment respectively. The measurement data are usually available in the form of groups of separate points located irregularly in three-dimensional space, known as point clouds. This data model has known disadvantages, therefore in many applications a different form of representation, i.e. 3D surfaces composed of edges and facets, is preferred with respect to the terrain or seabed surface relief as well as various objects shape. In the paper, the authors propose a new approach to 3D shape reconstruction from both multibeam and LiDAR measurements. It is based on a multiple-step and to some extent adaptive process, in which the chosen set and sequence of particular stages may depend on a current type and characteristic features of the processed data. The processing scheme includes: 1) pre-processing which may include noise reduction, rasterization and pre-classification, 2) detection and separation of objects for dedicated processing (e.g. steep walls, masts), and 3) surface reconstruction in 3D by point cloud triangulation and with the aid of several dedicated procedures. The benefits of using the proposed methods, including algorithms for detecting various features and improving the regularity of the data structure, are presented and discussed. Several different shape reconstruction algorithms were tested in combination with the proposed data processing methods and the strengths and weaknesses of each algorithm were highlighted.
Źródło:: Polish Maritime Research; 2018, 2; 47-56
1233-2585
Pojawia się w:: Polish Maritime Research
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Methods for quality improvement of multibeam and LiDAR point cloud data in the context of 3D surface reconstruction
Autorzy:: Kulawiak, M.
Łubniewski, Z.
Powiązania:: https://bibliotekanauki.pl/articles/332451.pdf
Data publikacji:: 2016
Wydawca:: Polskie Towarzystwo Akustyczne
Tematy:: multibeam sonar
LiDAR
3D
point cloud
shape reconstruction
noise reduction
Opis:: Point cloud dataset is the transitional data model used in several marine and land remote-sensing applications. During further steps of processing, the transformation of point cloud spatial data to more complex models containing higher order geometric structures like edges and facets may be possible, if an appropriate quality level of input data is provided. Point cloud datasets usually contain a considerable amount of undesirable irregularities, such as strong variability of local point density, missing data, overlapping points and noise caused by scattering characteristics of the environment. For these reasons, processing such data can be quite problematic, especially in the field of object detection and threedimensional surface reconstruction. This paper is focused on applying the proposed methods for reducing the mentioned irregularities from several datasets containing 3D point clouds acquired by multibeam sonars and LiDAR scanners. The article also presents the results obtained by each method, and discusses their advantages.
Źródło:: Hydroacoustics; 2016, 19; 251-258
1642-1817
Pojawia się w:: Hydroacoustics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Algorytmy analizy, przetwarzania i wizualizacji danych z sonaru wielowiązkowego w rozproszonych systemach GIS
Analysis, processing and visualization algorithms for mutlibeam sonar data in distributed GIS systems
Autorzy:: Chybicki, A.
Kulawiak, M.
Kamiński, Ł.
Łubniewski, Z.
Dąbrowski, J.
Powiązania:: https://bibliotekanauki.pl/articles/366246.pdf
Data publikacji:: 2009
Wydawca:: Polskie Towarzystwo Medycyny i Techniki Hiperbarycznej
Tematy:: systemy wielowiązkowe
echosonda
telemonitoring morski
multibeam systems
sonar
seas and ocean monitoring and sensing
Opis:: Katedra Systemów Geoinformatycznych prowadzi badania naukowe związane z zastosowaniem nowych technologii implementacji Systemów Informacji Przestrzennej (GIS) w różnych zastosowaniach, a szczególnie w aplikacjach związanych z obszarami morskimi. Prowadzone są też prace badawcze związane z analizą i przetwarzaniem danych dla systemów GIS, ze szczególnym uwzględnieniem danych otrzymywanych z sonarów wielowiązkowych. Niniejszy artykuł stanowi ogólny opis prac badawczych związanych z telemonitoringiem morskim prowadzonych w Katedrze Systemów Geoinformatycznych Politechniki Gdańskiej.
Research carried out by The Department of Geoinformatics of Gdansk University of Technology focuses on processing, analysis and visualization of information related to marine and land environment. In particular, the research activities include: Web-based interactive Geographical Information Systems (GIS), 3D imaging of underwater objects using intelligent methods of recognition and mapping of seafloor, acoustic monitoring and population assessment of marine living resources. This paper describes the most important directions of the Department's research activity in the context of marine habitat monitoring.
Źródło:: Polish Hyperbaric Research; 2009, 1(26); 19-26
1734-7009
2084-0535
Pojawia się w:: Polish Hyperbaric Research
Dostawca treści:: Biblioteka Nauki

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