Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/7643
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dc.contributor.authorSamaila-Ija, H. A-
dc.contributor.authorOdumosu, J. O-
dc.contributor.authorAjayi, Oluibukun Gbenga-
dc.contributor.authorZitta, N-
dc.contributor.authorAdesina, E. A-
dc.contributor.authorAbdullahi, K-
dc.date.accessioned2021-07-09T03:46:19Z-
dc.date.available2021-07-09T03:46:19Z-
dc.date.issued2015-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/7643-
dc.descriptionSamaila-Ija, H., Odumosu, J. O., Ajayi, O. G., Zitta, N., Adesina, E. A., and Abdullahi, K. (2015). Least Squares approach for determination of Exterior Orientation Parameters from a single oblique Photograph. Environmental, Technology and Science Journal (ETSJ). 6 (1), 90-99, ISSN: 2006 – 0459.en_US
dc.description.abstractThis paper presents a simple least squares approach to determination of exterior orientation parameters using a parametric form solution to the conventional collinearity-condition equation for a single oblique photograph. A MATLAB based program has been written to perform the required computation by two methods namely; ‘iterative model’ and ‘non-iterative tilt photo-generator equation’. With a standard error of 10.77 m, 10.77 m, and 279.31 m for the X_0,Y_0,and Z_0 respectively, the “Non-iterative Tilt Photo Generator Equation” was chosen as a better fit for the solution although the accuracy achieved is unacceptable for higher order survey tasks. This therefore confirms that stereo images are better suited for higher order survey tasks.en_US
dc.language.isoenen_US
dc.publisherEnvironmental, Technology and Science Journal (ETSJ). School of Environmental Technology, Federal University of Technology, Minnaen_US
dc.subjectCollinearity equationen_US
dc.subjectExterior orientationen_US
dc.subjectOblique Photographsen_US
dc.subjectGround control points (GCPs)en_US
dc.titleLeast Squares approach for determination of Exterior Orientation Parameters from a single oblique Photographen_US
dc.typeArticleen_US
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