RT Dissertation/Thesis
T1 Geospatial data automatic processing and its final representation using machine learning techniques
T2 Procesado automático de datos geoespaciales y su representación final empleando técnicas de machine learning
A1 Bueno Espósito, Martín Rodrigo
K1 3304 Tecnología de Los Ordenadores
K1 1206.01 Construcción de Algoritmos
K1 3305.06 Ingeniería Civil
AB Geospatial data are very useful in the environmental, civil engineering and mining domains. Both LiDAR systems and photogrammetric techniques support the acquisition of applicable geospatial data, but they present a drawback: they generate huge amounts of data which are difficult to handle and process.  The proposal of this thesis is to develop and implement a number of procedures based on machine learning, to automatize and simplify the geospatial data-processing, in order to support end users working with these data.
YR 2017
FD 2017-11-23
LK http://hdl.handle.net/11093/898
UL http://hdl.handle.net/11093/898
LA eng
DS Investigo
RD 02-dic-2024