Automatic detection of solar radio burst using k-means clustering

Zexiao Cui; Guowu Yuan; Guannan Gao; Liang Dong; Hao Zhou; Yun Gao; Shaojie Guo; Min Wang

doi:10.1117/12.2539668

14 August 2019 Automatic detection of solar radio burst using k-means clustering

Zexiao Cui, Guowu Yuan, Guannan Gao, Liang Dong, Hao Zhou, Yun Gao, Shaojie Guo, Min Wang

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111793V (2019) https://doi.org/10.1117/12.2539668
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

Abstract

With the development of solar radio spectrometer, a large number of observational data has been obtained and the manual detection is difficult to reach the research needs. An automatic detection method of solar radio burst using kmeans clustering was presented in this paper. K-means clustering is introduced to classify the burst points in solar radio spectrum, and it can do better in high spectral and time resolution spectrometer. The experimental results show that the proposed method is effective.

Citation Download Citation

Zexiao Cui, Guowu Yuan, Guannan Gao, Liang Dong, Hao Zhou, Yun Gao, Shaojie Guo, and Min Wang "Automatic detection of solar radio burst using k-means clustering", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111793V (14 August 2019); https://doi.org/10.1117/12.2539668

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available