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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. Keywordsneural network ensembles; RBF neural networks; target identification; space target identification

Space Target Identification based on RBF Neural Network Ensembles