Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2, 157-162, 2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
16 Aug 2013
R. Gini1, D. Pagliari2, D. Passoni2, L. Pinto2, G. Sona1, and P. Dosso3 1Politecnico di Milano, DICA, Geomatics Laboratory at Como Campus, Via Valleggio, 11, 22100 Como, Italy
2Politecnico di Milano, DICA, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
3Studio di Ingegneria Terradat, via A. Costa 17, 20037 Paderno Dugnano, Italy
Keywords: Aerial Triangulation, Software Comparison, UAV, DEM, Point cloud Abstract. UAVs systems represent a flexible technology able to collect a big amount of high resolution information, both for metric and interpretation uses. In the frame of experimental tests carried out at Dept. ICA of Politecnico di Milano to validate vector-sensor systems and to assess metric accuracies of images acquired by UAVs, a block of photos taken by a fixed wing system is triangulated with several software. The test field is a rural area included in an Italian Park ("Parco Adda Nord"), useful to study flight and imagery performances on buildings, roads, cultivated and uncultivated vegetation.

The UAV SenseFly, equipped with a camera Canon Ixus 220HS, flew autonomously over the area at a height of 130 m yielding a block of 49 images divided in 5 strips. Sixteen pre-signalized Ground Control Points, surveyed in the area through GPS (NRTK survey), allowed the referencing of the block and accuracy analyses. Approximate values for exterior orientation parameters (positions and attitudes) were recorded by the flight control system.

The block was processed with several software: Erdas-LPS, EyeDEA (Univ. of Parma), Agisoft Photoscan, Pix4UAV, in assisted or automatic way. Results comparisons are given in terms of differences among digital surface models, differences in orientation parameters and accuracies, when available. Moreover, image and ground point coordinates obtained by the various software were independently used as initial values in a comparative adjustment made by scientific in-house software, which can apply constraints to evaluate the effectiveness of different methods of point extraction and accuracies on ground check points.

Conference paper (PDF, 891 KB)

Citation: Gini, R., Pagliari, D., Passoni, D., Pinto, L., Sona, G., and Dosso, P.: UAV PHOTOGRAMMETRY: BLOCK TRIANGULATION COMPARISONS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2, 157-162,, 2013.

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