Skip to main content
SpringerLink
Log in

Solar Image Analysis and Visualization

  • Book
  • © 2009

Overview

Editors:
  1. J. Ireland

    1. NASA Goddard Spaceflight Center, ADNET Systems, Inc., Greenbelt, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. C. A. Young

    1. NASA Goddard Spaceflight Center, ADNET Systems, Inc., Greenbelt, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Only book that focuses on the intersection between the fields of solar physics and image processing
  • Discusses state-of-the-art techniques

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (20 chapters)

  1. Front Matter

    Pages i-iv
    Download chapter PDF

  2. Preface: A Topical Issue on Solar Image Analysis and Visualization

    Pages 1-1

  3. FESTIVAL: A Multiscale Visualization Tool for Solar Imaging Data

    • F. Auchère, E. Soubrié, K. Bocchialini, F. LeGall
    Pages 3-14

  4. Visualization of Distributed Solar Data and Metadata with the Solar Weather Browser

    • B. Nicula, C. Marqué, D. Berghmans
    Pages 15-22

  5. Widespread Occurrence of Trenching Patterns in the Granulation Field: Evidence for Roll Convection?

    • A. V. Getling, A. A. Buchnev
    Pages 23-35

  6. Principal Components and Independent Component Analysis of Solar and Space Data

    • A. C. Cadavid, J. K. Lawrence, A. Ruzmaikin
    Pages 37-51

  7. Automatic Recognition and Characterisation of Supergranular Cells from Photospheric Velocity Fields

    • H. E. Potts, D. A. Diver
    Pages 53-65

  8. Automated McIntosh-Based Classification of Sunspot Groups Using MDI Images

    • T. Colak, R. Qahwaji
    Pages 67-86

  9. Multifractal Properties of Evolving Active Regions

    • P. A. Conlon, P. T. Gallagher, R. T. J. McAteer, J. Ireland, C. A. Young, P. Kestener et al.
    Pages 87-99

  10. Multiscale Analysis of Active Region Evolution

    • R. J. Hewett, P. T. Gallagher, R. T. J. McAteer, C. A. Young, J. Ireland, P. A. Conlon et al.
    Pages 101-112

  11. A Comparison of Feature Classification Methods for Modeling Solar Irradiance Variation

    • H. P. Jones, G. A. Chapman, K. L. Harvey, J. M. Pap, D. G. Preminger, M. J. Turmon et al.
    Pages 113-127

  12. The Observed Long- and Short-Term Phase Relation between the Toroidal and Poloidal Magnetic Fields in Cycle 23

    • S. Zharkov, E. Gavryuseva, V. Zharkova
    Pages 129-148

  13. Comparison of Five Numerical Codes for Automated Tracing of Coronal Loops

    • Markus J. Aschwanden, Jong Kwan Lee, G. Allen Gary, Michael Smith, Bernd Inhester
    Pages 149-167

  14. Segmentation of Loops from Coronal EUV Images

    • B. Inhester, L. Feng, T. Wiegelmann
    Pages 169-183

  15. The Pixelised Wavelet Filtering Method to Study Waves and Oscillations in Time Sequences of Solar Atmospheric Images

    • R. A. Sych, V. M. Nakariakov
    Pages 185-198

  16. A Time-Evolving 3D Method Dedicated o the Reconstruction of Solar Plumes and Results Using Extreme Ultraviolet Data

    • Nicolas Barbey, Frédéric Auchère, Thomas Rodet, Jean-Claude Vial
    Pages 199-213

  17. Automatic Detection and Classification of Coronal Holes and Filaments Based on EUV and Magnetogram Observations of the Solar Disk

    • Isabelle F. Scholl, Shadia Rifai Habbal
    Pages 215-229

  18. Spatial and Temporal Noise in Solar EUV Observations

    • V. Delouille, P. Chainais, J.-F. Hochedez
    Pages 231-245

  19. Multiscale Edge Detection in the Corona

    • C. Alex Young, Peter T. Gallagher
    Pages 247-259

  20. Automated Prediction of CMEs Using Machine Learning of CME – Flare Associations

    • R. Qahwaji, T. Colak, M. Al-Omari, S. Ipson
    Pages 261-273
Back to top

Keywords

About this book

The SECCHI A and B instrument suites (Howard et al. , 2006) onboard the two STEREO mission spacecraft (Kaiser, 2005) are each composed of: one Extreme Ultra-Violet Imager (EUVI), two white-light coronagraphs (COR1 and COR2), and two wide-angle heliospheric imagers (HI1 and HI2). Technical descriptions of EUVI, COR1 and the HIs can be found in Wuelser et al. (2004), Thompson et al. (2003), and De?se et al. (2003), respectively. The images produced by SECCHI represent a data visualization challenge: i) the images are 2048×2048 pixels (except for the HIs, which are usually binned onboard 2×2), thus the vast majority of computer displays are not able to display them at full frame and full r- olution, and ii) more importantly, the ?ve instruments of SECCHI A and B were designed to be able to track Coronal Mass Ejections from their onset (with EUVI) to their pro- gation in the heliosphere (with the HIs), which implies that a set of SECCHI images that covers the propagation of a CME from its initiation site to the Earth is composed of im- ?1 ages with very different spatial resolutions – from 1. 7 arcsecondspixel for EUVI to 2. 15 ?1 arcminutespixel for HI2, i. e. 75 times larger. A similar situation exists with the angular scales of the physical objects, since the size of a CME varies by orders of magnitude as it expands in the heliosphere.

Editors and Affiliations

  • NASA Goddard Spaceflight Center, ADNET Systems, Inc., Greenbelt, USA

    J. Ireland, C. A. Young

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation