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. © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Díaz-Cabrera, M., Cabrera-Gámez, J., Aguasca-Colomo, R., & Miatliuk, K. (2013). Photogrammetric analysis of images acquired by an UAV. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8112 LNCS, pp. 109–116). Springer Verlag. https://doi.org/10.1007/978-3-642-53862-9_15
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