ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume IV-2/W2
https://doi.org/10.5194/isprs-annals-IV-2-W2-17-2017
https://doi.org/10.5194/isprs-annals-IV-2-W2-17-2017
16 Aug 2017
 | 16 Aug 2017

NETWORK DESIGN IN CLOSE-RANGE PHOTOGRAMMETRY WITH SHORT BASELINE IMAGES

L. Barazzetti

Keywords: Accuracy, Automation, Bundle adjustment, Network Design, Precision, Simulation

Abstract. The avaibility of automated software for image-based 3D modelling has changed the way people acquire images for photogrammetric applications. Short baseline images are required to match image points with SIFT-like algorithms, obtaining more images than those necessary for “old fashioned” photogrammetric projects based on manual measurements. This paper describes some considerations on network design for short baseline image sequences, especially on precision and reliability of bundle adjustment. Simulated results reveal that the large number of 3D points used for image orientation has very limited impact on network precision.