Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2449-2451, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2449-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2449-2451, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2449-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

RESEARCH ON AIRCRAFT TARGET DETECTION ALGORITHM BASED ON IMPROVED RADIAL GRADIENT TRANSFORMATION

Z. M. Zhao, X. M. Gao, D. N. Jiang, and Y. Q. Zhang Z. M. Zhao et al.
  • Xi’an Surveying and Mapping Institute, Xi’an, China

Keywords: Aircraft Target Detection, Radial Gradient Transformation, Rotation-Invariant Feature, Polar Form, Look-up Table

Abstract. Aiming at the problem that the target may have different orientation in the unmanned aerial vehicle (UAV) image, the target detection algorithm based on the rotation invariant feature is studied,and this paper proposes a method of RIFF (Rotation-Invariant Fast Features) based on look up table and polar coordinate acceleration to be used for aircraft target detection. The experiment shows that the detection performance of this method is basically equal to the RIFF, and the operation efficiency is greatly improved.