JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 30 Issue 1
January 2015
Article Contents
SHI Jun-li. Research on UAV aerial image registration algorithm[J]. Journal of Light Industry, 2015, 30(1): 63-66. doi: 10.3969/j.issn.2095-476X.2015.01.013
Citation: SHI Jun-li. Research on UAV aerial image registration algorithm[J]. Journal of Light Industry, 2015, 30(1): 63-66. doi: 10.3969/j.issn.2095-476X.2015.01.013 shu

Research on UAV aerial image registration algorithm

  • Received Date: 2014-09-18
  • Aiming at the problem that UAV aerial image was not obvious to scale change,an improved CS-SIFT feature matching algorithm was presented based on the classical feature matching algorithm of SIFT (scale invariant feature transform).The algorithm established S-layer pyramid to reduce the multi-scale space and the number of feature points.In the matching feature vectors,quasi-Euclidean distance substituted commonly used Euclidean distance and geometric constraints limitd by eliminating part of the registration error points to further improve the efficiency of feature matching.The simulation results using Matlab language indicated that the improved algorithm had higher matching accuracy and needed less matching time and it was quite suitable for the UAV aerial system of high real-time demand.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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