SPoCA » Historique » Révision 2
Révision 1 (Xavier Bonnin, 17/05/2016 17:39) → Révision 2/3 (Xavier Bonnin, 17/05/2016 17:44)
h1. SPoCA h2. About SPoCA 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. SPoCA has been developed and maintained by the Royal Observatory of Belgium (ROB). SPoCA web page at ROC is accessible here : http://sdoatsidc.oma.be/web/sdoatsidc/SoftwareSPoCA. h2. SPoCA code source SPoCA is mainly developed using C++. > The source code is available from GitHub : https://github.com/bmampaey/SPoCA h2. SPoCA in HELIO The HELIO HFC runs an instance of SPoCA at the Observatoire de Paris. A wrapper has been developed by the HFC team in order to automatically call SPoCA using the HFC output standard formats. > The source code of the SPoCA wrapper for the HFC can be found in GitHub at : https://github.com/HELIO-HFC/SPoCA