Incremental Meshfree Approximation of Real Geographic Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43955681" target="_blank" >RIV/49777513:23520/19:43955681 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-21507-1_32" target="_blank" >http://dx.doi.org/10.1007/978-3-030-21507-1_32</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-21507-1_32" target="_blank" >10.1007/978-3-030-21507-1_32</a>
Alternative languages
Result language
angličtina
Original language name
Incremental Meshfree Approximation of Real Geographic Data
Original language description
In many technical applications, reconstruction of the scattered data is often task. For big scattered dataset in n-dimensional space, the using some meshless method such as the radial basis function (RBF) approximation is appropriate. RBF approximation is based on the distance computation, and therefore, it is dimensionally non-separable. This approximation can be converted to an overdetermined linear system of equations which has to be solved. A new incremental approach for meshless RBF approximation which respects the significant features of the given terrain data such as break lines is proposed in this paper. Using this approach, the improving approximation of the underlying data is achieved. Moreover, the proposed approach leads to a significant compression of the given dataset and the analytical description of the data is obtained. In comparison with other existing methods, the proposed approach achieves the better results due to respecting the features of the given data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Applied Physics, System Science and Computers III
ISBN
978-3-030-21506-4
ISSN
1876-1100
e-ISSN
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Number of pages
7
Pages from-to
222-228
Publisher name
Springer
Place of publication
Cham
Event location
Dubrovnik, Croatia
Event date
Sep 26, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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