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Generación de modelos digitales del terreno y de superficies a partir de información capturada por sensores LiDAR aerotransportados

Authors: Extremera Jiménez, Francisco Javier;

Generación de modelos digitales del terreno y de superficies a partir de información capturada por sensores LiDAR aerotransportados

Abstract

El objetivo de este TFG es la profundización de los conocimientos adquiridos a lo largo del grado en el tratamiento de la información capturada por LiDAR aerotransportados. En particular, orientados a la generación de MDT/MDS, mediante la aplicación de técnicas de filtrado y clasificación de nubes de puntos tridimensionales y su uso en la generación de productos como ortoimágenes en zonas urbanas. Asimismo se presenta una metodología de trabajo para este objetivo, al tiempo que se desarrolla una comparativa con otras técnicas (correlación) a través de la aplicación de las mismas a un caso real de estudio en la ciudad de Madrid.

The objective of this TFG is to deepen the knowledge acquired throughout the degree in the treatment of information captured by Airborne LiDAR. In particular, oriented to the generation of MDT/MDS, through the application of techniques of filtering and classification of three-dimensional point clouds and their use in the generation of products as orthoimages in urban areas. A working methodology for this objective is also presented, while developing a comparison with other techniques (correlation) through the application of them to a real case study in the city of Madrid.

Keywords

Geographical cartography, Urban Geography, Cartografía geográfica, 540401, Geodesican photogrammetry, 250402, Geografía Urbana, Fotogrametría Geodésica, 250404

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green