SPoCA » Historique » Version 3
Xavier Bonnin, 17/05/2016 17:45
| 1 | 1 | Xavier Bonnin | h1. SPoCA |
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| 3 | 2 | Xavier Bonnin | h2. About SPoCA |
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| 5 | 2 | Xavier Bonnin | 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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| 7 | 1 | Xavier Bonnin | SPoCA has been developed and maintained by the Royal Observatory of Belgium (ROB). |
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| 9 | SPoCA web page at ROC is accessible here : http://sdoatsidc.oma.be/web/sdoatsidc/SoftwareSPoCA. |
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| 11 | 3 | Xavier Bonnin | Documents and papers about SPoCA are available "here": https://projets-lesia.obspm.fr/projects/helio-features/dmsf?folder_id=223 |
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| 13 | 2 | Xavier Bonnin | h2. SPoCA code source |
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| 15 | SPoCA is mainly developed using C++. |
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| 17 | > The source code is available from GitHub : https://github.com/bmampaey/SPoCA |
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| 19 | h2. SPoCA in HELIO |
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| 21 | The HELIO HFC runs an instance of SPoCA at the Observatoire de Paris. |
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| 23 | 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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| 25 | > The source code of the SPoCA wrapper for the HFC can be found in GitHub at : https://github.com/HELIO-HFC/SPoCA |