UAV - based imagery processing using structure from motion and remote sensing technology
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/158176
comunitat-uji-handle2:10234/71345
comunitat-uji-handle3:10234/141145
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Metadatos
Título
UAV - based imagery processing using structure from motion and remote sensing technologyAutoría
Tutor/Supervisor
Guerrero Castex, Ignacio; Prinz, Torsten; Caetano, MárioTutor/Supervisor; Universidad.Departamento
Universitat Jaume I. Institut Universitari de Noves Tecnologies de la ImatgeFecha de publicación
2015-03-04Editor
Universitat Jaume IResumen
With the recent advances in technology and miniaturization of devices such as GPS or IMU, Unmanned Aerial Vehicles became a feasible platform for a Remote Sensing applications. The use of UAVs compared to the conven ... [+]
With the recent advances in technology and miniaturization of devices such as GPS or IMU, Unmanned Aerial Vehicles became a feasible platform for a Remote Sensing applications. The use of UAVs compared to the conventional aerial platforms provides a set of advantages such as higher spatial resolution of the derived products. UAV - based imagery obtained by a user grade cameras introduces a set of problems which have to be solved, e. g. rotational or angular differences or unknown or insufficiently precise IO and EO camera parameters. In this work, UAV - based imagery of RGB and CIR type was processed using two different workflows based on PhotoScan and VisualSfM software solutions resulting in the DSM and orthophoto products. Feature detection and matching parameters influence on the result quality as well as a processing time was examined and the optimal parameter setup was presented. Products of the both workflows were compared in terms of a quality and a spatial accuracy. Both workflows were compared by presenting the processing times and quality of the results. Finally, the obtained products were used in order to demonstrate vegetation classification. Contribution of the IHS transformations was examined with respect to the classification accuracy. [-]
Palabras clave / Materias
Màster Universitari Erasmus Mundus en Tecnologia Geoespacial | Erasmus Mundus University Master's Degree in Geospatial Technologies | Máster Universitario Erasmus Mundus en Tecnología Geoespacial | Structure from Motion | Structure from Motion | Unmanned Aerial Vehicle | Unmanned Aerial System | DSM | Orthophoto | PhotoScan | VisualSfM | IHS
Descripción
Treball final de Màster Universitari Erasmus Mundus en Tecnologia Geoespacial. Codi: SIW013. Curs acadèmic 2014-2015
Tipo de documento
info:eu-repo/semantics/masterThesisDerechos de acceso
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info:eu-repo/semantics/restrictedAccess