Deep learning for studying urban water bodies´ spatio-temporal transformation: a study of Chittagong City, Bangladesh

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies

Detalhes bibliográficos
Autor principal: Enan, Muhammad Esmat (author)
Formato: masterThesis
Idioma:eng
Publicado em: 2021
Assuntos:
Texto completo:http://hdl.handle.net/10362/113704
País:Portugal
Oai:oai:run.unl.pt:10362/113704
Descrição
Resumo:Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies