Solar image analysis and visualization
This volume presents a selection of papers on the state of the art of image enhancement, automated feature detection, machine learning, and visualization tools in support of solar physics that focus on the challenges presented by new ground-based and space-based instrumentation. The articles and top...
保存先:
| その他の著者: | , |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2009. |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Solar image analysis and visualization, J. Ireland [and] C. Alex Young, editors, 2009, [Lieu de publication inconnu], Springer Verlag, 1 vol. (289 p.), 978-0-387-98153-6 |
目次:
- Preface: A Topical Issue on Solar Image Analysis and Visualization FESTIVAL: A Multiscale Visualization Tool for Solar Imaging Data Visualization of Distributed Solar Data and Metadata with the Solar Weather Browser Widespread Occurrence of Trenching Patterns in the Granulation Field: Evidence for Roll Convection? Principal Components and Independent Component Analysis of Solar and Space Data Automatic Recognition and Characterisation of Supergranular Cells from Photospheric Velocity Fields Automated McIntosh-Based Classification of Sunspot Groups Using MDI Images Multifractal Properties of Evolving Active Regions Multiscale Analysis of Active Region Evolution A Comparison of Feature Classification Methods for Modeling Solar Irradiance Variation The Observed Long- and Short-Term Phase Relation between the Toroidal and Poloidal Magnetic Fields in Cycle 23 Comparison of Five Numerical Codes for Automated Tracing of Coronal Loops Segmentation of Loops from Coronal EUV Images The Pixelised Wavelet Filtering Method to Study Waves and Oscillations in Time Sequences of Solar Atmospheric Images A Time-Evolving 3D Method Dedicated o the Reconstruction of Solar Plumes and Results Using Extreme Ultraviolet Data Automatic Detection and Classification of Coronal Holes and Filaments Based on EUV and Magnetogram Observations of the Solar Disk Spatial and Temporal Noise in Solar EUV Observations Multiscale Edge Detection in the Corona Automated Prediction of CMEs Using Machine Learning of CME? ?Flare Associations Automatic Detection and Tracking of Coronal Mass Ejections in Coronagraph Time Series