Browsing Department of Mathematics by Subject "deep learning"
Now showing items 1-2 of 2
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Deep learning-based cross-sensor super resolution of satellite images
(Master thesis, 2021-11-22)Subtitle: Multispectral-to-panchromatic single-image super resolution of GeoEye-1 satellite images using an ESRGAN deep learning model trained exclusively on WorldView-2 images. Abstract: Today, easy and abundant access ... -
Zero-shot classification of salmon lice images by siamese neural networks
(Master thesis, 2023-06-22)Deep learning models, such as neural networks and its variations, have proven exceptionally useful in the current state of society. However, facilitating competitive performances requires large amounts of data for the ...