|
Title:
|
SUNSPOT DETECTION AND TRACKING USING IMAGE PROCESSING TECHNIQUES |
|
Author(s):
|
Ruben Du Toit, Günther Richard Drevin and Roelf Du Toit Strauss |
|
ISBN:
|
978-989-8704-44-3 |
|
Editors:
|
Hans Weghorn and Pedro Isaias |
|
Year:
|
2022 |
|
Edition:
|
Single |
|
Keywords:
|
Sunspots, Solar Activity, Detection, Tracking, Space Weather |
|
Type:
|
Full Paper |
|
First Page:
|
123 |
|
Last Page:
|
130 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
Space weather forecasting has become increasingly important over the past five decades as we have become more dependent on technology. Systems such as wireless communication, railway signaling, high voltage power grids and satellites can all be interrupted by solar activity events. The detection and tracking of sunspots as well as the prediction of solar eruptions forms a part of the attempt to predict space weather. To make predictions regarding the behaviour of a sunspot it is necessary to track and monitor its evolution over time. In this paper the use of Image Processing techniques to detect and track sunspots will be investigated. |
|
|
|
|
|
|
