Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W4, 91-96, 2016
https://doi.org/10.5194/isprs-archives-XL-3-W4-91-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
17 Mar 2016
TOWARDS EFFICIENCY OF OBLIQUE IMAGES ORIENTATION
W. Ostrowski and K. Bakuła Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, Poland
Keywords: oblique, oblique images, orientation, adjustment, bundle, block Abstract. Many papers on both theoretical aspects of bundle adjustment of oblique images and new operators for detecting tie points on oblique images have been written. However, only a few achievements presented in the literature were practically implemented in commercial software. In consequence often aerial triangulation is performed either for nadir images obtained simultaneously with oblique photos or bundle adjustment for separate images captured in different directions. The aim of this study was to investigate how the orientation of oblique images can be carried out effectively in commercial software based on the structure from motion technology. The main objective of the research was to evaluate the impact of the orientation strategy on both duration of the process and accuracy of photogrammetric 3D products. Two, very popular software: Pix4D and Agisoft Photoscan were tested and two approaches for image blocks were considered. The first approach based only on oblique images collected in four directions and the second approach included nadir images. In this study, blocks for three test areas were analysed. Oblique images were collected with medium-format cameras in maltan cross configuration with registration of GNSS and INS data. As a reference both check points and digital surface models from airborne laser scanning were used.
Conference paper (PDF, 1274 KB)


Citation: Ostrowski, W. and Bakuła, K.: TOWARDS EFFICIENCY OF OBLIQUE IMAGES ORIENTATION, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W4, 91-96, https://doi.org/10.5194/isprs-archives-XL-3-W4-91-2016, 2016.

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