Share:


Photogrammetric block adjustment without control points

    Khalid L. A. El-Ashmawy Affiliation

Abstract

A simple method for close range and aerial photogrammetry applications has been developed. The method is in the form of bundle block adjustment which utilizes only the measured distance(s) between points for generating adjusted relative three dimensional (3D) coordinate system. Software based on the proposed method has been developed and tested using simulated data. The effects of block size, number and location of measured distances, and random errors on bundle block adjustments using the proposed and the conventional methods have been studied using simulated and actual photogrammetric data. It was found that the accuracy of the bundle block adjustment using the proposed method is comparable or better than the results of conventional method. The proposed method, is suitable for photogrammetrists and non-photogrammetrists in different fields such as architectural, archaeological, forensic and aerial photogrammetry, where relative 3D coordinates system may be required. It has a significant effect on reducing the overall cost of the photogrammetric project. Merging the capabilities of the developed software and Computer Aided Design (CAD) technology, especially 3D drawing generation, widens its applications areas to include recording buildings and monuments which is necessary for architectural and archaeological applications.

Keyword : aerial photogrammetry, close range photogrammetry, bundle block adjustment, 3D relative coordinate system

How to Cite
El-Ashmawy, K. (2018). Photogrammetric block adjustment without control points. Geodesy and Cartography, 44(1), 6-13. https://doi.org/10.3846/gac.2018.880
Published in Issue
Apr 30, 2018
Abstract Views
67
PDF Downloads
53
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

El-Ashmawy, K. L. A. (1999). A cost-effective photogrammetric system for engineering applications (PhD Thesis). Department of Civil Engineering, University of Roorkee, Roorkee, India.

El-Ashmawy, K. L. A., & Azmi, M. (2003). Photogrammetric simultaneous and self calibration block adjustments using coplanarity condition. Engineering Research Journal, Faculty of Engineering, University of Helwan, Egypt, 87, 85-101.

Ghosh, S. K. (2005). Fundamentals of computational photogrammetry. Concept Publishing Company, New Delhi, India.

Gneeniss, A. S., Mills, J. P., Miller, P. E. (2015). In-flight photogrammetric camera calibration and validation via complementary lidar. ISPRS Journal of Photogrammetry and Remote Sensing, 100, 3-13. https://doi.org/10.1016/j.isprsjprs.2014.04.019

Jacobsen, K. (1997). Operational block adjustment without control points. Proceedings of ASPRS Annual Convention. Seattle, U.S.A.

Jacobsen, K. (1999). Combined bundle block adjustment with attitude data. Proceedings of ASPRS Annual Convention. Portland.

James, M. R., Robson, S., d’Oleire-Oltmanns, S., Niethammer, U. (2017). Optimising UAV topographic surveys processed with structure-from-motion: Ground control quality, quantity and bundle adjustment. Geomorphology, 280, 51-66. https://doi.org/10.1016/j.geomorph.2016.11.021

Malik, D. S. (2010). Data structures using C++ (2nd ed.). Cengage Learing, Inc., USA.

Moffitt, F. H., & Mikhail, E. M. (1980). Photogrammetry (3rd ed.). Harper and Row Publishers, Inc., New York, N. Y.

Mikhail, E. M. (1976). Observations and least squares. Iep-A Dun-Donnelly Publishers, New York, U.S.A.

Omura, G., & Benton, B. (2016). Mastering AutoCAD® 2017 and AutoCAD LT® 2017. John Wiley & Sons, Inc, USA. https://doi.org/10.1002/9781119415510

Rupnik, E., Nex, F., Toschi, I., & Remondino, F. (2015). Aerial multi-camera systems: accuracy and block triangulation issues. ISPRS Journal of Photogrammetry and Remote Sensing, 101, 233-246. https://doi.org/10.1016/j.isprsjprs.2014.12.020

Shi, J., Yuan, X., Cai, Y., & Wang, G. (2017). GPS real-time precise point positioning for aerial triangulation. GPS Solutions, 21(2), 405-414. https://doi.org/10.1007/s10291-016-0532-2

Van Den Heuvel, F. A. (2000). Trends in CAD-Based Photogrammetric Measurement. Proceedings of the XLX ISPRS Congress, Vol. XXXIII-B5 of International Archives of Photogrammetry and Remote Sensing (pp. 852-863), Amsterdam.

Zhang, Y., Zheng, M., Xiong, X., & Xiong, J. (2015). Multistrip bundle block adjustment of ZY-3 satellite imagery by rigorous sensor model without ground control point. IEEE Geoscience and Remote Sensing Letters, 12(4).

Zhou, G., & Deren, L. (2001). CAD-Based object reconstruction using line photogrammetry for direct interaction between GEMS and a Vision system. Photogrammetric Engineering and Remote Sensing, 67(1), 107-116.