Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45502
Title: Photogrammetric analysis of images acquired by an UAV
Authors: Díaz-Cabrera, Moises 
Cabrera-Gámez, Jorge 
Aguasca-Colomo, Ricardo 
Miatliuk, Kanstantsin
UNESCO Clasification: 120326 Simulación
120304 Inteligencia artificial
Keywords: keypoints detectors
Local descriptors
Mapping
Aerial photography
Unmanned Aerial Vehicles (UAV)
Issue Date: 2013
Journal: Lecture Notes in Computer Science 
Conference: 14th International Conference on Computer Aided Systems Theory (EUROCAST) 
14th International Conference on Computer Aided Systems Theory, EUROCAST 2013 
Abstract: 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
Source: Moreno-Díaz R., Pichler F., Quesada-Arencibia A. (eds) Computer Aided Systems Theory - EUROCAST 2013. EUROCAST 2013. Lecture Notes in Computer Science, vol 8112. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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