Deep Learning in Solar Astronomy (SpringerBriefs in Computer Science)

by Long Xu, Yihua Yan, and Xin Huang

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The volume of data being collected in solar astronomy has exponentially increased over the past decade and we will be entering the age of petabyte solar data. Deep learning has been an invaluable tool exploited to efficiently extract key information from the massive solar observation data, to solve the tasks of data archiving/classification, object detection and recognition.

Astronomical study starts with imaging from recorded raw data, followed by image processing, such as image reconstruction, inpainting and generation, to enhance imaging quality. We study deep learning for solar image processing. First, image deconvolution is investigated for synthesis aperture imaging. Second,...

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  • ISBN13 9789811927454
  • Publish Date 28 May 2022
  • Publish Status Active
  • Publish Country SG
  • Imprint Springer Verlag, Singapore
  • Edition 1st ed. 2022
  • Format Paperback
  • Pages 92
  • Language English