The SPoCA-suite: Software for extraction, characterization, and tracking of active regions and coronal holes on EUV images

[1]  M. Aschwanden Image Processing Techniques and Feature Recognition in Solar Physics , 2010 .

[2]  Stanley S. Ipson,et al.  Statistical Properties Of Sunspots In 1996–2004: I. Detection, North–South Asymmetry And Area Distribution , 2005 .

[3]  Larisza D. Krista,et al.  Automated Coronal Hole Detection Using Local Intensity Thresholding Techniques , 2009, 0905.1814.

[4]  Shadia Rifai Habbal,et al.  Automatic Detection and Classification of Coronal Holes and Filaments Based on EUV and Magnetogram Observations of the Solar Disk , 2008 .

[5]  David H. Douglas,et al.  ALGORITHMS FOR THE REDUCTION OF THE NUMBER OF POINTS REQUIRED TO REPRESENT A DIGITIZED LINE OR ITS CARICATURE , 1973 .

[6]  G. Toma Evolution of Coronal Holes and Implications for High-Speed Solar Wind During the Minimum Between Cycles 23 and 24 , 2011 .

[7]  Rami Qahwaji,et al.  A Multi-wavelength Analysis of Active Regions and Sunspots by Comparison of Automatic Detection Algorithms , 2011, 1109.0473.

[8]  M. Temmer,et al.  Equatorial coronal holes, solar wind high-speed streams, and their geoeffectiveness , 2011 .

[9]  M. Steinegger,et al.  On the Intensity Thresholds of the Network and Plage Regions , 1998 .

[10]  Michael Turmon,et al.  Statistical Pattern Recognition for Labeling Solar Active Regions: Application to SOHO/MDI Imagery , 2002 .

[11]  W. Pesnell,et al.  Automated detection of EUV Polar Coronal Holes during Solar Cycle 23 , 2009, 0901.1158.

[12]  Margit Haberreiter,et al.  Towards the reconstruction of the EUV irradiance for solar Cycle 23 , 2011, Proceedings of the International Astronomical Union.

[13]  M. Temmer,et al.  Periodic Appearance of Coronal Holes and the Related Variation of Solar Wind Parameters , 2007 .

[14]  W E Phillips,et al.  Application of fuzzy c-means segmentation technique for tissue differentiation in MR images of a hemorrhagic glioblastoma multiforme. , 1995, Magnetic Resonance Imaging.

[15]  C. J. Wolfson,et al.  The Atmospheric Imaging Assembly (AIA) on the Solar Dynamics Observatory (SDO) , 2011 .

[16]  Fraser Watson,et al.  Modelling the Longitudinal Asymmetry in Sunspot Emergence: The Role of the Wilson Depression , 2009, 0909.0914.

[17]  Larisza D. Krista,et al.  Automated Solar Feature Detection for Space Weather Applications , 2011, 1109.6922.

[18]  T. Dudok de Wit,et al.  Fast Segmentation of Solar Extreme Ultraviolet Images , 2006 .

[19]  E. Roelof,et al.  A coronal hole and its identification as the source of a high velocity solar wind stream , 1973 .

[20]  Peter J. Rousseeuw,et al.  Fuzzy clustering algorithms based on the maximum likelihood principle , 1991 .

[21]  D. S. Bloomfield,et al.  Solar magnetic feature detection and tracking for space weather monitoring , 2010, 1006.5898.

[22]  Rami Qahwaji,et al.  Automated Solar Activity Prediction: A hybrid computer platform using machine learning and solar imaging for automated prediction of solar flares , 2009 .

[23]  Rami Qahwaji,et al.  Prediction of Extreme Ultraviolet Variability Experiment (EVE)/Extreme Ultraviolet Spectro-Photometer (ESP) Irradiance from Solar Dynamics Observatory (SDO)/Atmospheric Imaging Assembly (AIA) Images Using Fuzzy Image Processing and Machine Learning , 2013 .

[24]  N. Raouafi,et al.  Computer Vision for the Solar Dynamics Observatory (SDO) , 2012 .

[25]  A. Jaffey,et al.  Heliophysics Event Knowledgebase for the Solar Dynamics Observatory (SDO) and Beyond , 2010, Solar Physics.

[26]  Jean-Pierre Delaboudiniere,et al.  Evolution of Chromospheric Structures: How Chromospheric Structures Contribute to the Solar He II 30.4 Nanometer Irradiance and Variability , 1999 .

[27]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[28]  James M. Keller,et al.  A possibilistic approach to clustering , 1993, IEEE Trans. Fuzzy Syst..

[29]  James M. Keller,et al.  The possibilistic C-means algorithm: insights and recommendations , 1996, IEEE Trans. Fuzzy Syst..

[30]  W. Neupert,et al.  EIT: Extreme-ultraviolet Imaging Telescope for the SOHO mission , 1995 .

[31]  Pietro N. Bernasconi,et al.  Advanced Automated Solar Filament Detection And Characterization Code: Description, Performance, And Results , 2005 .

[32]  Vincent Barra,et al.  Fast and robust segmentation of solar EUV images: algorithm and results for solar cycle 23 , 2009 .

[33]  Farid Melgani,et al.  An explicit fuzzy supervised classification method for multispectral remote sensing images , 2000, IEEE Trans. Geosci. Remote. Sens..

[34]  K. Revathy,et al.  Fractal-Based Fuzzy Technique For Detection Of Active Regions From Solar Images , 2005 .

[35]  Rami Qahwaji,et al.  Automated McIntosh-Based Classification of Sunspot Groups Using MDI Images , 2008 .

[36]  F. J. Anscombe,et al.  THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA , 1948 .

[37]  Alain Arneodo,et al.  CHARACTERIZING COMPLEXITY IN SOLAR MAGNETOGRAM DATA USING A WAVELET-BASED SEGMENTATION METHOD , 2010, 1005.1536.

[38]  Peter N. Brandt,et al.  On Novel Methods to Determine Areas of Sunspots from Photoheliograms , 1997 .

[39]  Stanley S. Ipson,et al.  Active Region Detection and Verification With the Solar Feature Catalogue , 2006 .

[40]  George Dimitoglou,et al.  JHelioviewer: Visualizing Large Sets of Solar Images Using JPEG 2000 , 2009, Computing in Science & Engineering.

[41]  C. J. Wolfson,et al.  Sun Earth Connection Coronal and Heliospheric Investigation (SECCHI) , 2008 .

[42]  Sandrine Lefebvre,et al.  A new method to detect active features at the solar limb , 2004 .

[43]  Piergiorgio Nicolosi,et al.  SWAP onboard PROBA-2, a new EUV imager for solar monitoring , 2006 .

[44]  V. Yurchyshyn,et al.  Parameters of the Magnetic Flux inside Coronal Holes , 2009, 0908.2460.

[45]  Elisa Martínez,et al.  Automatic Sunspots Detection on Full-Disk Solar Images using Mathematical Morphology , 2008 .

[46]  I. Livshits,et al.  Contrast of Coronal Holes and Parameters of Associated Solar Wind Streams , 2009 .

[47]  Astrid M. Veronig,et al.  Coronal Holes and Solar Wind High-Speed Streams: I. Forecasting the Solar Wind Parameters , 2007 .

[48]  Joseph B. Gurman,et al.  The Virtual Solar Observatory: status and initial operational experience , 2004, SPIE Astronomical Telescopes + Instrumentation.

[49]  H. P. Jones,et al.  Differentiating Coronal Holes from the Quiet Sun by He 1083 nm Imaging Spectroscopy , 2004 .

[50]  Jianhong Wu,et al.  Data clustering - theory, algorithms, and applications , 2007 .

[51]  Jean-Marc Defise,et al.  CMOS-APS Detectors for Solar Physics: Lessons Learned during the SWAP Preflight Calibration , 2008 .

[52]  John P. Snyder,et al.  Map Projections: A Working Manual , 2012 .

[53]  Vincent Barra,et al.  Segmentation of extreme ultraviolet solar images via multichannel fuzzy clustering , 2008 .

[54]  Jack Ireland,et al.  Automated Boundary-extraction And Region-growing Techniques Applied To Solar Magnetograms , 2005 .

[55]  Manuel Vázquez,et al.  SIMULATION OF SEEING INFLUENCES ON THE PHOTOMETRIC DETERMINATION OF SUNSPOT AREAS , 1997 .