Simulated Photogrammetric Data for Testing the Performance of Photogrammetric Instruments and Systems
Received: 26 July 2022 | Revised: 12 August 2022 | Accepted: 18 August 2022 | Online: 2 October 2022
Corresponding author: K. L. A. El-Ashmawy
Abstract
The generation of mathematical photograms (photos) as data is universally accepted as the basis for photogrammetric studies. New development in the field of computer technology has had a major influence on photogrammetry. This paper aims to describe the development of a computer system called SimuPhotos designed to produce simulated data in different forms for testing photogrammetric methodologies, software, and instruments. SimuPhotos is capable of generating photogrammetric blocks with different specifications. It generates the simulated data for the whole block, strips, or selected photos. The simulated free error data include the camera interior orientation parameters, ground coordinates of points, and for each photograph, camera exterior orientation parameters, and the photo coordinates of imaged points. To increase the capabilities of the developed system, it has a special error generator to get normally distributed error(s) with arbitrary mean(s) and standard deviation(s). The obtained errors are then, if required, applied to the error-free photo and ground coordinates of points. The developed system interfaces CAD technology to generate simulated photogrammetric data in DXF and raster formats which are suitable for testing the photogrammetric instruments and softcopy systems. SimuPhotos has been used for testing the analytical photogrammetric system PhotoMap. The results showed that PhotoMap is free of system error and is functional. Also, the results showed that SimuPhotos can effectively provide a convenient, economical, and accurate testing tool for photogrammetric systems. The developed system is quite versatile and affordable.
Keywords:
simulated photogrammetric data, numerical data, graphical data, SimuPhoto system, testing photogrammetric systems, softcopy photogrammetryDownloads
References
F. J. Doyle, "Fictitious data generator for analytical aerotriangulation," Photogrammetria, vol. 21, no. 5, pp. 179–194, Oct. 1966. DOI: https://doi.org/10.1016/0031-8663(66)90011-1
K. L. A. El-Ashmawy, "A Cost-Effective Photogrammetric System for Engineering Applications," Ph.D. dissertation, University of Roorkee, Roorkee, India, 1998.
S. Rani, Y. Chabrra, and K. Malik, "An Improved Denoising Algorithm for Removing Noise in Color Images," Engineering, Technology & Applied Science Research, vol. 12, no. 3, pp. 8738–8744, Jun. 2022. DOI: https://doi.org/10.48084/etasr.4952
S. Banerjee, A. Bandyopadhyay, A. Mukherjee, A. Das, and R. Bag, "Random Valued Impulse Noise Removal Using Region Based Detection Approach," Engineering, Technology & Applied Science Research, vol. 7, no. 6, pp. 2288–2292, Dec. 2017. DOI: https://doi.org/10.48084/etasr.1609
R. Vadhi, V. S. Kilari, and S. S. Kumar, "An Image Fusion Technique Based on Hadamard Transform and HVS," Engineering, Technology & Applied Science Research, vol. 6, no. 4, pp. 1075–1079, Aug. 2016. DOI: https://doi.org/10.48084/etasr.707
Yu. B. Blokhinov, D. A. Gribov, and A. S. Chernyavskiy, "Image matching problem for certain cases of perspective photography," Journal of Computer and Systems Sciences International, vol. 47, no. 6, pp. 959–973, Dec. 2008. DOI: https://doi.org/10.1134/S1064230708060105
S. K.Ghosh, Fundamentals of Computational Photogrammetry, 1st ed. New Delhi, India: Concept Publishing Company Pvt. Ltd., 2005.
Manual of Photogrammetry. Bethesda, MD, USA: ASPRS, 2004.
K. L. A. El-Ashmawy, "Coplanarity Condition for Photogrammetric Simultaneous and Self Calibration Block Adjustments," International Journal of Advances in Scientific Research and Engineering, vol. 7, no. 2, May 2021.
I. Autodesk, Autocad Reference Manual. Sausalito, CA, USA: Autodesk, Inc., 1986.
K. Gregory, Using Visual C++ 6, Special edition. Indianapolis, IN, USA: Que Pub, 1998.
CorelDRAW® 2020 User Guide. Corel Corporation, 2020.
K. L. A. El-Ashmawy, "Using direct linear transformation (DLT) method for aerial photogrammetry applications," Geodesy and Cartography, vol. 44, no. 3, pp. 71–79, Oct. 2018. DOI: https://doi.org/10.3846/gac.2018.1629
K. L. A. El-Ashmawy, "Block Adjustment Using Control Distances Constraint," International Journal of Innovation Scientific Research and Review, vol. 3, no. 3, pp. 948–953, Mar. 2021.
K. L. A. El-Ashmawy, "Photogrammetric block adjustment without control points," Geodesy and Cartography, vol. 44, no. 1, pp. 6–13, Apr. 2018. DOI: https://doi.org/10.3846/gac.2018.880
C. D. Ghilani, Adjustment Computations: Spatial Data Analysis, 6th ed. Wiley, 2017. DOI: https://doi.org/10.1002/9781119390664
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