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Topological analysis of weather images

Gregor Mubi (2015) Topological analysis of weather images. EngD thesis.

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    In this thesis computational topology is used to analyse weather data. The goal is to analyse weather images and discern, if it is possible to expose certain parameters, which could improve humid mass classification. For this reason we were observing how those masses appear and merge on sequences of images. We used topological method named persistence. For data analysis we obtained weather radar images. We also wrote around 20 scripts in computing environment MATLAB, which served for data computation and visualization. Images are presented as cubical complexes, where grayscale values are in vertexes of the complexes. One of the results is also an identification of parameter, which is based on topological methods and could be used in hail forecast and other exceptional weather forecasts.

    Item Type: Thesis (EngD thesis)
    Keywords: computational topology, persistent homology, cubical complexes, persistent diagrams, weather data, weather prediction
    Number of Pages: 27
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Neža Mramor Kosta242Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1536481731 )
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3024
    Date Deposited: 21 Aug 2015 08:41
    Last Modified: 18 Sep 2015 09:25
    URI: http://eprints.fri.uni-lj.si/id/eprint/3024

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