Deep Learning in Solar Astronomy - SpringerBriefs in Computer Science - Long Xu - Knjige - Springer Verlag, Singapore - 9789811927454 - 28. maja 2022
Če se naslovnica in naslov ne ujemata, je naslov pravilen

Long Xu
Deep Learning in Solar Astronomy - SpringerBriefs in Computer Science 1st ed. 2022 edition

Cena
€ 54,99

Naročeno iz oddaljenega skladišča

Predvidena dobava 19. - 27. okt
Prejemajte obvestila o novih izdajah izvajalca Long Xu

Kaj pravijo naše stranke:

14-dnevna politika vračila v skladu z evropsko zakonodajo o varstvu potrošnikov
Najvišja ocena na Trustpilot
Dodaj na svoj seznam želja iMusic

Not rated yet

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, image inpainting is explored to repair over-saturated solar image due to light intensity beyond threshold of optical lens. Third, image translation among UV/EUV observation of the chromosphere/corona, Ha observation of the chromosphere and magnetogram of the photosphere is realized by using GAN, exhibiting powerful image domain transfer ability among multiple wavebands and different observation devices. It can compensate the lack of observation time or waveband. In addition, time series model, e.g., LSTM, is exploited to forecast solar burst and solar activity indices.



This book presents a comprehensive overview of the deep learning applications in solar astronomy. It is suitable for the students and young researchers who are major in astronomy and computer science, especially interdisciplinary research of them.
show more

92 pages, 37 Tables, color; 1 Illustrations, black and white; XIV, 92 p. 1 illus.

Medij Knjige     Paperback Book   (Knjiga z mehkimi platnicami in lepljenim hrbtom)
Izdano 28. maja 2022
ISBN13 9789811927454
Založniki Springer Verlag, Singapore
Strani 92
Dimenzije 150 × 220 × 10 mm   ·   180 g
Jezik Angleščina  

Več od Long Xu

Prikaži vse

Več od istega **izdajatelja**

Ogled vseh Long Xu