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所属单位：航天学院

发表刊物：PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017)

关键字：Image Registration Self-Organizing Feature Maps Clustering Analysis Neural Network

摘要：Spacecraft autonomous navigation method based on remote sensing image is a novel method which has been put into practical use in recent year. However, with the restricted computation resource onboard, this method still needs to look for a better way to improve its speed to satisfy real-time requirement. According to the problem above, this paper proposed an alternate method to faster image registration progress with the combination of SURF (Speed-Up Robust Features) and SOFM (Self-Organizing Feature Map). SURF is a sophisticated algorithm which is invariant to scaling and rotation, and SOFM is a kind of neural network which is used for clustering analysis in this paper. Then, a new algorithm called Similarity-Clustering Algorithm (SCA) is presented to analysis the result of clustering. Besides, a performance index called Precision is defined to determine the best value of Epoch for SOFM neural network training. The experimental results demonstrate that the proposed approach for registration has good adaptability for real-time practical application.

ISSN号：2161-2927

是否译文：否

发表时间：2017-01-01

合写作者：葛林林,华冰,陈志明,陈林

通讯作者：葛林林,吴云华