Кундік, КирилоПолякова, Любов2025-09-052025-09-052025https://ekmair.ukma.edu.ua/handle/123456789/36482In this thesis, we explore the use of normalization and standardization to improve the transferability of deep learning models for cloud detection from multi-temporal satellite imagery. Specifically, we evaluate whether applying normalization techniques during preprocessing can reduce the necessity of model fine-tuning when encountering temporally shifted and externally sourced satellite images.en-USmachine learningneural networkssemantic segmentationimagerybachelor`s thesisOther