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SPoCA » Historique » Version 2

Xavier Bonnin, 17/05/2016 17:44

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h1. SPoCA
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h2. About SPoCA
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The Spatial Possibilistic Clustering Algorithm (SPoCA) produces a segmentation of EUV solar images into regions named here `classes' corresponding to Active Regions (AR), Coronal Holes (CH), and the Quiet Sun (QS). SPoCA uses a multi-channel unsupervised spatially-constrained fuzzy clustering procedure, where the classes are determined by minimization of intra-class variance. 
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SPoCA has been developed and maintained by the Royal Observatory of Belgium (ROB).
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SPoCA web page at ROC is accessible here : http://sdoatsidc.oma.be/web/sdoatsidc/SoftwareSPoCA.
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h2. SPoCA code source
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SPoCA is mainly developed using C++.
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> The source code is available from GitHub : https://github.com/bmampaey/SPoCA
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h2. SPoCA in HELIO
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The HELIO HFC runs an instance of SPoCA at the Observatoire de Paris.
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A wrapper has been developed by the HFC team in order to automatically call SPoCA using the HFC output standard formats.
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> The source code of the SPoCA wrapper for the HFC can be found in GitHub at : https://github.com/HELIO-HFC/SPoCA