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Shaffer thesis-project revised2__final format approved LW 4-13-18.pdf (4.24 MB)
ETD Abstract Container
Abstract Header
An FPGA Implementation of Large-Scale Image Orthorectification
Author Info
Shaffer, Daniel Alan
ORCID® Identifier
http://orcid.org/0000-0001-5809-6963
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1523624621509277
Abstract Details
Year and Degree
2018, Master of Science (M.S.), University of Dayton, Electrical Engineering.
Abstract
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.
Committee
Eric Balster, Ph.D. (Advisor)
Frank Scarpino, Ph.D. (Committee Member)
Tarek Taha, Ph.D. (Committee Member)
Pages
42 p.
Subject Headings
Electrical Engineering
Keywords
Orthorectification
;
Field Programmable Gate Array
;
FPGA
;
Back-Projection
;
Size Weight and Power
;
SWaP
;
Fixed-point
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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)
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Document number:
dayton1523624621509277
Download Count:
785
Copyright Info
© 2018, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.