A Simulation Method of Generating Multi-view Image of Aircraft Targets
Yunfeng Liu, Bin Li, Xiaopei Tang, Xiaogang Yang, Yong Tang
Available Online June 2017.
- https://doi.org/10.2991/icmia-17.2017.125How to use a DOI?
- Data augmentation, Aircraft Targets, Multi-view Transformation, Deep learning
- Aircraft target detection in airport remote sensing image by deep learning is a hot topic of current research, however, training deep network model needs a large amount of datasets, and there is no website or the specialized agencies to collect remote sensing images of airport. To solve the problem, a multi-view images generation method for aircraft targets is proposed in this paper. Firstly, the aircraft viewpoint transformation detection imaging model was established, and the coordinate transformation is deduced in detail; secondly, a multi-view image simulation algorithm structure was designed, and the realization of the algorithm is introduced in detail. Experimental results show that the method has good simulation effect on remote sensing images of airport and have high use value.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yunfeng Liu AU - Bin Li AU - Xiaopei Tang AU - Xiaogang Yang AU - Yong Tang PY - 2017/06 DA - 2017/06 TI - A Simulation Method of Generating Multi-view Image of Aircraft Targets BT - 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icmia-17.2017.125 DO - https://doi.org/10.2991/icmia-17.2017.125 ID - Liu2017/06 ER -