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Convolutional Neural Networks for cloud segmentation of satellite imagery

Marta Trapero Bernabe

Convolutional Neural Networks for cloud segmentation of satellite imagery.

Rel. Tatiana Tommasi, Jacopo Federici. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2023

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Abstract:

A large amount of the images transmitted from satellites to the ground are useless as they contain too many clouds. Therefore, this thesis proposes the implementation of a deep learning algorithm to evaluate the cloud cover on the satellite to transmit only useful images.

Relators: Tatiana Tommasi, Jacopo Federici
Academic year: 2022/23
Publication type: Electronic
Number of Pages: 67
Subjects:
Corso di laurea: Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica)
Classe di laurea: New organization > Master science > LM-25 - AUTOMATION ENGINEERING
Aziende collaboratrici: Brain technologies
URI: http://webthesis.biblio.polito.it/id/eprint/26890
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