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An Integer-Based Approach for Back Projection of Wide Area Imagery

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2012, Master of Science (M.S.), University of Dayton, Electrical Engineering.
Image projection, the re-orienting of an image into a desired coordinate frame, is a common transformation within many imaging applications. Google Earth, military surveillance systems, and agricultural surveys all make use of varying approaches to image projection. Orthorectifcation, the construction of an image based upon orthographic projection, is one such approach. This thesis presents an integer-based approach to the orthorectifcation of aerial imagery. The orthorectifcation process is a back-projection algorithm with the use of a CAHV camera model, Digital Elevation Map (DEM), and implementation of the collinearity equations. In many airborne imaging systems, the orthorectifcation process is a computational bottleneck which hinders processing throughput. The proposed integer-based approach reduces the computation time of the projection process by an average of 27.6%. In addition, the proposed solution easily lends itself to further processing improvement using embedded solutions such as FPGAs.
Dr. Eric Balster, PhD (Advisor)
45 p.

Recommended Citations

Citations

  • Sundlie, P. (2012). An Integer-Based Approach for Back Projection of Wide Area Imagery [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335540912

    APA Style (7th edition)

  • Sundlie, Paul. An Integer-Based Approach for Back Projection of Wide Area Imagery. 2012. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335540912.

    MLA Style (8th edition)

  • Sundlie, Paul. "An Integer-Based Approach for Back Projection of Wide Area Imagery." Master's thesis, University of Dayton, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335540912

    Chicago Manual of Style (17th edition)