Classification d'image des types de nuages à une seule couche: Un système automatisé basé sur PCA pour classer différents types d'images cloud pour ... concise de la pluie (French Edition)
by Imran Sarwar Bajwa, Irfan Hyder
This French Edition examines an automated system for classifying single-layer cloud images. Using Principal Component Analysis (PCA), the study organizes different cloud image types and considers their application to concise rainfall estimation, making it relevant to readers interested in meteorology, image processing, and data-based classification.
About This Book
This book presents an automated approach for classifying different types of cloud images.
Its central method is based on Principal Component Analysis, or PCA, for analyzing and organizing image data.
The work focuses on single-layer cloud classification and addresses the use of cloud imagery in concise rainfall estimation.
Written in French, it offers a specialized perspective at the intersection of meteorology, image analysis, and automated classification.
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