Skip to Main Content
 

Global Search Box

 
 
 

ETD Abstract Container

Abstract Header

An FPGA Implementation of Large-Scale Image Orthorectification

Abstract Details

2018, Master of Science (M.S.), University of Dayton, Electrical Engineering.
This thesis presents a hardware implementation of an image orthorectification process using back-projection. Image orthorectification is integral to effective analysis and exploitation of aerial imagery and is often one of the largest processing bottlenecks. As imaging sensors grow in pixel count and associated target footprint, the image orthorectification process requires an associated increase in compute capability. In order to support size, weight, and power (SWaP) constrained processing environments, such as on-board systems for unmanned aerial vehicles (UAVs), efficient and scalable solutions must be developed. Moreover, in surveillance applications minimizing latency is paramount. This thesis presents an integer-based high performance Field Programmable Gate Array (FPGA) implementation of a back-projection algorithm for orthorectification. A 2.6x speedup is achieved over software processing with an associated 23x reduction in total energy per image.
Eric Balster, Ph.D. (Advisor)
Frank Scarpino, Ph.D. (Committee Member)
Tarek Taha, Ph.D. (Committee Member)
42 p.

Recommended Citations

Citations

  • Shaffer, D. A. (2018). An FPGA Implementation of Large-Scale Image Orthorectification [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1523624621509277

    APA Style (7th edition)

  • Shaffer, Daniel. An FPGA Implementation of Large-Scale Image Orthorectification. 2018. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1523624621509277.

    MLA Style (8th edition)

  • Shaffer, Daniel. "An FPGA Implementation of Large-Scale Image Orthorectification." Master's thesis, University of Dayton, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1523624621509277

    Chicago Manual of Style (17th edition)