Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/45502
Título: Photogrammetric analysis of images acquired by an UAV
Autores/as: Díaz-Cabrera, Moises 
Cabrera-Gámez, Jorge 
Aguasca-Colomo, Ricardo 
Miatliuk, Kanstantsin
Clasificación UNESCO: 120326 Simulación
120304 Inteligencia artificial
Palabras clave: Keypoints detectors
Local descriptors
Mapping
Aerial photography
Unmanned Aerial Vehicles (UAV)
Fecha de publicación: 2013
Editor/a: Springer 
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 14th International Conference on Computer Aided Systems Theory (EUROCAST) 
Resumen: Processing of aerial imagery is a broadly topic discussed nowadays. An Unmanned Aerial Vehicles (UAV) developed in our laboratory was used as experimental platform for the present research. An analysis of the possible application of SURF feature-based algorithm to match outdoor images is introduced. Experimental data comprise selected images taken from different heights (100 and 150 m), different lighting conditions, different pitch, roll and yaw angles, among others effects. The obtained results are validated by using low cost equipment and a low quality video sequence.
URI: http://hdl.handle.net/10553/45502
ISBN: 978-3-642-53861-2
ISSN: 0302-9743
DOI: 10.1007/978-3-642-53862-9_15
Fuente: Computer Aided Systems Theory - EUROCAST 2013. EUROCAST 2013. Lecture Notes in Computer Science [ISSN 0302-9743], v. 8112 LNCS, p. 109-116, (Diciembre 2013)
Colección:Actas de congresos
miniatura
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