Aerial target recognition based on Zernike moments of information fusion
- https://doi.org/10.2991/icmia-16.2016.136How to use a DOI?
- OpenGL; Pseudo-Zernike; Pose Estimation;.
Based on OpenGL and Google library we established the target model library and the canny operator is used for edge detection. Combined with D-S evidence theory and Pseudo-Zernike moments, the air target recognition algorithm based on information fusion is proposed. Pseudo-Zernike moments are invariant to rotation, translation and scale invariance and easy to construct high order moment, compared with the Hu moment redundancy small, and not easy to affect by noise. The D-S theory of evidence solved the conflict absorption which make the result more reliable. The reliability and robustness of the method are verified by the simulation experiment of the target image in Gauss noise
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Tai Fu AU - Xiangyi Sun AU - Dan Fu PY - 2016/11 DA - 2016/11 TI - Aerial target recognition based on Zernike moments of information fusion BT - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icmia-16.2016.136 DO - https://doi.org/10.2991/icmia-16.2016.136 ID - Fu2016/11 ER -