Space Target Identification based on RBF Neural Network Ensembles
- DOI
- 10.2991/ccis-13.2013.100How to use a DOI?
- Keywords
- neural network ensembles; RBF neural networks; target identification; space target identification
- Abstract
Space target identification is very important to space security. In practice, identification of satellites from space images is very useful and difficult. After preprocessing of space images, the object in the space images need to be classified as satellites or not using classification algorithms. In this paper, we propose to use RBF neural network ensemble to identify satellites in the space images. The simulation system for space target identification is constructed; the total identification process is tested and the experiment results are analyzed. The correct identification ratio is larger than 90% when there are three satellites in the system, and the correct ratio is about 85% when there are six satellites. These results demonstrate that this method has a promising identification effect.
- Copyright
- © 2013, 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 - Zhao Jubo PY - 2013/11 DA - 2013/11 TI - Space Target Identification based on RBF Neural Network Ensembles BT - Proceedings of the The 1st International Workshop on Cloud Computing and Information Security PB - Atlantis Press SP - 432 EP - 436 SN - 1951-6851 UR - https://doi.org/10.2991/ccis-13.2013.100 DO - 10.2991/ccis-13.2013.100 ID - Jubo2013/11 ER -