Hybrid correlation algorithms, a bridge between feature matching and image correlation

Joseph A. Ratkovic

Expert InsightsPublished 1979

Up to the present time there have been two basic classes of map matching algorithms--those based on feature matching techniques and those based on image correlation. This paper describes a new class of hybrid correlation algorithms which incorporate features as an integral part of the matching process. These algorithms can be implemented such that it is not necessary to extract features from the sensed image. The paper concludes by showing the domains in which each class of matching algorithm (feature matching, image correlation, and hybrid algorithm) is most appropriate.

Document Details

  • Copyright: RAND Corporation
  • Availability: Web Only
  • Year: 1979
  • Pages: 20
  • Document Number: P-6418

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Ratkovic, Joseph A., Hybrid correlation algorithms, a bridge between feature matching and image correlation. Santa Monica, CA: RAND Corporation, 1979. https://www.rand.org/pubs/papers/P6418.html.
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