Classification of aerosols in CALIOP data using unsupervised semantic segmentation
This thesis investigates the feasibility and efficacy of employing unsupervised semantic segmentation for classifying features in CALIOP data, aiming to address significant bias inherent in current classification methods. By exploring various preprocessing techniques, dimensionality reduction methods, and classification algorithms, the study evaluates the potential of semantic segmentation in impr