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Template Matching Used for Small Body Optical Navigation with Poorly Detailed ObjectsObject and template matching becomes difficult when an image lacks detail. This is particularly worrisome when typical matching techniques, cross-correlation, log-polar mapping, and key point matching fail. Work herein describes a formulation that identifies objects of interest, estimates the affine transformation between a template object and scene using Principal Component Analysis (PCA), and provides a fit value for the objects and template incorporating Hu's Moments. The algorithm presented is tested on synthetic images and images obtained from the OSIRIS-REx mission while the spacecraft was approaching its target, Bennu. Results for the current formulation show that, with the presence of large-scale variations and rotation, the fitting scheme performs well when compared with other techniques.
Document ID
20190032465
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Lyzhoft, Joshua R.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Liounis, Andrew J.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Lauretta, Dante S.
(Arizona Univ. Tucson, AZ, United States)
Date Acquired
November 4, 2019
Publication Date
October 28, 2019
Subject Category
Computer Programming And Software
Instrumentation And Photography
Report/Patent Number
GSFC-E-DAA-TN74565
Meeting Information
Meeting: RPI Space Imaging Workshop
Location: Saratoga Springs, NY
Country: United States
Start Date: October 28, 2019
End Date: October 30, 2019
Sponsors: Rensselaer Polytechnic Inst.
Funding Number(s)
CONTRACT_GRANT: NNM10AA11C
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
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