Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


Batts Thesis__final format approved LW 4-26-2023.pdf (1.31 MB)

Digital Accessibility Report

File List


Batts Acrobat Accessibility Report.html (7.98 KB)

ETD Abstract Container

Abstract Header

Efficient Superresolution SAR Imaging

Batts, Alex
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1682593483839062

Abstract Details

2023, Master of Science (M.S.), University of Dayton, Electrical Engineering.
While traditional Fourier methods of SAR imaging are well known in addition to being easy to implement, they have limitations in terms of quality, particularly with respect to speckle, scintillation, and side lobe artifacts. Methods of SAR imaging that have shown promise include superresolution methods like the Minimum Variance Method (MVM) and the Multiple Signal Classification (MUSIC) algorithm; however, these algorithms are computationally intense. Both algorithms require the estimation of a correlation matrix, and manipulations thereof, as well as computing the image spectrum through computation of a quadratic form for each image pixel. This thesis presents an efficient method for estimating the correlation matrix and shows how the structure of the correlation matrix can be exploited to efficiently compute the aforementioned superresolution methods.
Brian Rigling (Advisor)
John Malas (Committee Member)
Keigo Hirakawa (Committee Member)
61 p.
Electrical Engineering
Synthetic Aperture Radar; Spectral Estimation; Signal Processing; Efficient Implementation; Superresolution Techniques

Recommended Citations

Citations

  • Batts, A. (2023). Efficient Superresolution SAR Imaging [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1682593483839062

    APA Style (7th edition)

  • Batts, Alex. Efficient Superresolution SAR Imaging. 2023. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1682593483839062.

    MLA Style (8th edition)

  • Batts, Alex. "Efficient Superresolution SAR Imaging." Master's thesis, University of Dayton, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1682593483839062

    Chicago Manual of Style (17th edition)

dayton1682593483839062
82
© 2023, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.