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2018 | 94 | 2 | 131-148
Article title

Determination of the Position and Orientation of Aerial Photogrammetry Sensors: A Practical Implementation

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Surveying engineering aims at determining the three-dimensional positions of points on the earth surface. One of the techniques of achieving this is by making measurements on two-dimensional aerial photographs. This is known as Aerial Photogrammetry. Aerial Photogrammetry employs the use of aircraft such as aeroplane, helicopter, or in recent times, drone, to take photographs of places to be mapped from the air. In determining the required ground coordinates of an object by Aerial Photogrammetry, the position and attitude (orientation) of the sensor (or camera) during exposure must be known. The recovery of these parameters (exterior orientation parameters) is known as space resection. Although several texts and papers have described various methods of retrieving the parameters, and how to go about the solutions, the descriptions are vivid, and usually unclear to a large percentage of students. The solution involves tedious computational tasks and is generally time-consuming and brain-tasking. Hence, there is need to proffer a step-by-step solution to a real-world problem that students can study. This paper aims to implement this by employing images captured by an Unmanned Aerial Vehicle (UAV) and measured ground coordinates at the University of Lagos, Nigeria. With a view to achieving quick, less stressful and gross error-free solutions, a computer program was developed in C# programming language for the problem using the principle of collinearity condition
Physical description
  • Department of Surveying and Geoinformatics, Federal University of Technology, Akure, Ondo State, Nigeria
  • [1] Abamy F., (n.d). Lecture Slides on Advanced Photogrammetry, SE 422. King Saud University, Riyadh, Saudi Arabia.
  • [2] Abdel-Aziz Y., Karara H., (1971). Direct Linear Transformation from Comparator Coordinates into Object Space Coordinates in Close-Range Photogrammetry. Papers from the American Society of Photogrammetry, Symposium on Close-Range Photogrammetry, Urbana, Illinois 433, pp. 1-18.
  • [3] Derenyi E.E., (1996). Photogrammetry: The Concepts. Department of Geodesy and Geomatics Engineering, University of New Brunswick, Fredericton, New Brunswick, Canada. Lecture Notes No. 57.
  • [4] Dewitt B.A., (1996). Initial Approximations for the Three-Dimensional Conformal Coordinate Transformation. Photogrammetric Engineering & Remote Sensing, 62 (1), 79–83
  • [5] Easa S.M., (2007). Evaluation of the Newton-Raphson Method for Three-Point Resection in Photogrammetry. Surveying and Land Information Science, 67(1), 33-42.
  • [6] Easa S.M., (2010). Space Resection in Photogrammetry Using Collinearity Condition without Linearisation. Survey Review, 42, 40-49.
  • [7] Ebadi H., (2006). Advanced Analytical Aerial Triangulation. K.N. Toosi University of Technology, Tehran, Iran.
  • [8] Elnima E.E., (2013). A Solution for Exterior and Relative Orientation in Photogrammetry, A Genetic Evolution Approach. Journal of King Saud University – Engineering Sciences. 27, 108-113.
  • [9] Kraus K., (1997). Photogrammetry, Vol. 2, Advanced Methods and Applications, Published by WB-Druk, Germany, pp. 99-105.
  • [10] Seedahmed G.H., (2006). Direct Retrieval of Exterior Orientation Parameters Using A 2-D Projective Transformation. Photogrammetric Record, 21 (115), 211–231
  • [11] Slama C.C. (ed.), (1980). Manual of Photogrammetry. American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland.
  • [12] Smith M.J., Park D.W.G., (2000). Absolute and Exterior Orientation Using Linear Features. International Archives of Photogrammetry and Remote Sensing, 33 (B3), 850–857.
  • [13] Tommaselli A.M.G., Tozzi C.L., (1996). A Recursive Approach to Space Resection Using Straight Lines. Photogrammetric Engineering and Remote Sensing, 62(1), 57–66.
  • [14] Wolf P.R., (1983). Elements of Photogrammetry, With Air Photo Interpretation and Remote Sensing. 2nd ed. McGrawHill, New York, N.Y. 628 pages
  • [15] Zeng Z., Wang X., (1992). A General Solution of a Closed-Form Space Resection. Photogrammetric Engineering and Remote Sensing, 58(3), 327–338
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