Image Classification of Single Layered Cloud Types : A PCA based automated system to classify different types of cloud Images for better and concise forecasting of rain
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 42.72
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - An automatic classification system is presented, which discriminates the different types of single- layered clouds using Principal Component Analysis (PCA) with enhanced accuracy and provides fast processing speed as compared to other techniques. The system is first trained by cloud images. In training phase, system reads major principal features of the different cloud images to produce an image space. In testing phase, a new cloud image can be classified by comparing it with the specified image space using the PCA algorithm. Weather forecasting applications use various pattern recognition techniques to analyze clouds' information and other meteorological parameters. Neural Networks is an often-used methodology for image processing. Some statistical methodologies like FDA, RBFNN and SVM are also being used for image analysis. These methodologies require more training time and have limited accuracy of about 70%. This level of accuracy often degrades classification of clouds, and hence the accuracy of rain and other weather predictions is reduced. PCA algorithm provides a more accurate cloud classification that yield better and concise forecasting of rain.…
Seller Inventory # 9783844328264
- Title
- Image Classification of Single Layered Cloud Types : A PCA based automated system to classify different types of cloud Images for better and concise forecasting of rain
- Author
- Imran Sarwar Bajwa
- Publisher
- LAP LAMBERT Academic Publishing
- Publication year
- 2011
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3844328262
- ISBN 13
- 9783844328264
- Item weight
- 137 grams
- Dimensions
- 220x150x5 mm
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