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dayton1335540912.pdf (1.2 MB)
ETD Abstract Container
Abstract Header
An Integer-Based Approach for Back Projection of Wide Area Imagery
Author Info
Sundlie, Paul
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335540912
Abstract Details
Year and Degree
2012, Master of Science (M.S.), University of Dayton, Electrical Engineering.
Abstract
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.
Committee
Dr. Eric Balster, PhD (Advisor)
Pages
45 p.
Keywords
Photogrammetry
;
Orthorectification
;
Remote Sensing
;
Projection
;
FPGA
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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)
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Document number:
dayton1335540912
Download Count:
672
Copyright Info
© 2012, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.