Automated Prediction of Solar Flares: Integrating Image Processing and Machine Learning for the Creation of a Hybrid Computer Platform That Provides Real-time Prediction of Solar Flares - Rami Qahwaji - Bøger - LAP LAMBERT Academic Publishing - 9783838370309 - 1. juli 2010
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Automated Prediction of Solar Flares: Integrating Image Processing and Machine Learning for the Creation of a Hybrid Computer Platform That Provides Real-time Prediction of Solar Flares

Rami Qahwaji

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Automated Prediction of Solar Flares: Integrating Image Processing and Machine Learning for the Creation of a Hybrid Computer Platform That Provides Real-time Prediction of Solar Flares

As we rely more on satellites, communication systems and space research, the importance of space weather is increasing continuously. There are many space missions and ground based observatories providing continuous observation of the Sun at many different wavelengths to supply the demand for space weather forecast and research. All the forecasting strategies highly depend on experience of solar physicists and done manually. The results differ from observatories to observatories and subjective. There is a need for automated analysis of Sun and space weather forecasting. The solar activity is the driver of space weather. Thus it is important to be able to predict the violent eruptions such as coronal mass ejections and solar flares. In this book a hybrid system combining image processing and machine learning techniques for the automated short-term prediction of solar flares is presented. The system can also detect, group, and classify sunspots using solar images. The algorithms, implementation, and results are explained in this work.

Medie Bøger     Paperback Bog   (Bog med blødt omslag og limet ryg)
Udgivet 1. juli 2010
ISBN13 9783838370309
Forlag LAP LAMBERT Academic Publishing
Antal sider 128
Mål 225 × 8 × 150 mm   ·   209 g
Sprog Tysk  

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