Vector field radial basis function approximation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952926" target="_blank" >RIV/49777513:23520/18:43952926 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.advengsoft.2018.06.013" target="_blank" >http://dx.doi.org/10.1016/j.advengsoft.2018.06.013</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.advengsoft.2018.06.013" target="_blank" >10.1016/j.advengsoft.2018.06.013</a>
Alternative languages
Result language
angličtina
Original language name
Vector field radial basis function approximation
Original language description
Vector field simplification aims to reduce the complexity of the flow by removing features according to their relevance and importance. Our goal is to preserve only the important critical points in the vector field and thus simplify the vector field for the visualization purposes. We use Radial Basis Functions (RBF) approximation with Lagrange multipliers for vector field approximation. The proposed method was experimentally verified on synthetic and real weather forecast data sets. The results proved the quality of the proposed approximation method compared to other existing approaches. A significant contribution of the proposed method is an analytical form of the vector field which can be used in further processing.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA17-05534S" target="_blank" >GA17-05534S: Meshless methods for large scattered spatio-temporal vector data visualization</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Engineering Software
ISSN
0965-9978
e-ISSN
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Volume of the periodical
123
Issue of the periodical within the volume
SEP 2018
Country of publishing house
GB - UNITED KINGDOM
Number of pages
13
Pages from-to
117-129
UT code for WoS article
000439466600010
EID of the result in the Scopus database
2-s2.0-85050167164