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Registration Algorithms for Flash Inverse Synthetic Aperture LiDAR

Hennen, John Andrew

Abstract Details

2019, Doctor of Philosophy (Ph.D.), University of Dayton, Electro-Optics.
This research demonstrates registration algorithms specific to multi-pixel imaging Inverse Synthetic Aperture LiDAR (ISAL) complex data volumes. Two registration approaches are considered, a mutual information registration algorithm (MIRA) and an enhanced, range bin-summed cross-correlation algorithm. For implementing these in the context of an ISAL signal, a theoretical mapping of the reflected target plane field to an aperture plane for multi-pixel detection is done. The theory for implementing both MIRA and cross-correlation enhancements is detailed and applied to a simulated sensitivity analysis that compares algorithm convergence and performance for different SNR, sub-aperture shift distances, and low pixel supports. To the best of the authors’ knowledge, this is the first application of 3D complex volume mutual information registration to LiDAR aperture synthesis. The enhanced cross-correlation algorithm showed significant gain in registration operability with respect to SNR and sub-aperture shift, giving new options for potential ISAL system design. An experimental Flash LiDAR system was constructed utilizing a multi-pixel temporal heterodyne detection approach for simultaneous azimuth, elevation, range and phase ISAL imaging of a target and this system was used to benchmark registration sensitivity for real data volumes. This is the first known application of a fast focal plane array for low support flash temporal heterodyne LiDAR for aperture synthesis.
Matthew Dierking, Ph.D. (Advisor)
Partha Banerjee, Ph.D. (Committee Member)
David Rabb, Ph.D. (Committee Member)
Bryce Schumm, Ph.D. (Committee Member)
Edward Watson, Ph.D. (Committee Member)
157 p.

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Citations

  • Hennen, J. A. (2019). Registration Algorithms for Flash Inverse Synthetic Aperture LiDAR [Doctoral dissertation, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1576142937639181

    APA Style (7th edition)

  • Hennen, John. Registration Algorithms for Flash Inverse Synthetic Aperture LiDAR. 2019. University of Dayton, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1576142937639181.

    MLA Style (8th edition)

  • Hennen, John. "Registration Algorithms for Flash Inverse Synthetic Aperture LiDAR." Doctoral dissertation, University of Dayton, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1576142937639181

    Chicago Manual of Style (17th edition)