ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W2, 17-23, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W2-17-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
16 Aug 2017
NETWORK DESIGN IN CLOSE-RANGE PHOTOGRAMMETRY WITH SHORT BASELINE IMAGES
L. Barazzetti Dept. of Architecture, Built environment and Construction engineering (ABC) Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, Italy
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.
Conference paper (PDF, 2053 KB)


Citation: Barazzetti, L.: NETWORK DESIGN IN CLOSE-RANGE PHOTOGRAMMETRY WITH SHORT BASELINE IMAGES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W2, 17-23, https://doi.org/10.5194/isprs-annals-IV-2-W2-17-2017, 2017.

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