New version of Hyper-Fractal Analysis application for estimating the fuzzy fractal dimension of hyperspectral satellite ocean color images

In this work we present a new version of the Hyper-Fractal Analysis C# .Net application for estimating the fuzzy fractal dimension of hyperspectral images. As an example, we also present some initial results on 116D algal images obtained from the HYPSO-1 satellite. Program Title: Hyper-Fractal Analy...

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Bibliographic Details
Published in:Computer physics communications 2024-08, Vol.301, p.109215, Article 109215
Main Authors: Grossu, I.V., Garrett, J.L.
Format: Article
Language:English
Subjects:
Box-counting
Fractal dimension
Fuzzy logic
Hyperspectral
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Summary:In this work we present a new version of the Hyper-Fractal Analysis C# .Net application for estimating the fuzzy fractal dimension of hyperspectral images. As an example, we also present some initial results on 116D algal images obtained from the HYPSO-1 satellite. Program Title: Hyper-Fractal Analysis v08. CPC Library link to program files:https://doi.org/10.17632/z9knmny56p.4. Licensing provisions: GPLv2. Programming language: C# 7.3 /.Net Framework 4.8. Journal reference of previous version: Computer Physics Communications 276 (2022) 108335. Does the new version supersede the previous version?: Yes. Nature of problem: Estimating the fuzzy fractal dimension of Hyperspectral images. Solution method: Optimized algorithm for Hyperspectral images stored in a specific csv file format. Reasons for the new version: Develop a set of tools for facilitating fuzzy fractal analysis of Hyperspectral images (more than 100 dimensions).
ISSN:0010-4655
1879-2944
DOI:10.1016/j.cpc.2024.109215