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dc.contributor.advisorM.Sc. Sergio Arriola Valverdees
dc.contributor.authorCordero-Quirós, Javier Alonso
dc.date.accessioned2019-03-18T20:17:27Z
dc.date.available2019-03-18T20:17:27Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/2238/10429
dc.descriptionProyecto Final de Graduación (Licenciatura en Ingeniería Electrónica) Instituto Tecnológico de Costa Rica, Escuela de Ingeniería Electrónica, 2018es
dc.description.abstractThis work presents the design and validation of a software system able to count trees automatically, applying image segmentation and machine learning techniques to two-dimensional photogrammetric products generated by an image sensor on board an UAS system. Through a photogrammetric flight methodology, it is possible to generate a digital elevation model and orthomosaic of the region of interest. Which then, are processed by the software system to extract, identify and quantify tree physical properties in this case. Finally, the obtained properties are used for a biomass estimation according to a state of art theoretical model.es
dc.language.isospaes
dc.publisherInstituto Tecnológico de Costa Ricaes
dc.subjectVegetaciónes
dc.subjectFotogrametríaes
dc.subjectSegmentaciónes
dc.subjectImágeneses
dc.subjectSistemases
dc.subjectVisiónes
dc.subjectComputadorases
dc.subjectResearch Subject Categories::TECHNOLOGY::Electrical engineering, electronics and photonics::Electronicses
dc.titleDiseño de un sistema de cuantificación automática de biomasa basado en procesamiento de imágenes y fotogrametría con vehículos aéreos no tripuladoses
dc.typelicentiateThesises


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