Bulletin of Surveying and Mapping ›› 2019, Vol. 0 ›› Issue (12): 56-59,64.doi: 10.13474/j.cnki.11-2246.2019.0386

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Research on united extraction and cross matching of UAV image features

JI Wenlai, ZHAO Xiangyu, LI Mingfeng   

  1. School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China
  • Received:2019-06-24 Revised:2019-08-25 Published:2020-01-03

Abstract: Aiming at the problem of UAV images with large number and changes of rotation and scaling, a method of image registration based on united extraction of features and cross matching is proposed. The characteristics of SURF algorithm and BRISK algorithm are analyzed. The algorithms and steps of united extraction of image features with SURF feature point detection and BRISK feature point description and PROSAC cross matching are studied. The validity of this method is verified by experimental analysis.

Key words: UAV image, feature point extraction, feature point matching, cross matching, image registration

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