A SVM-based classification selection algorithm for the automatic selection of guide star

Sheng Zheng; Chengyi Xiong; Weiren Wu; Jinwen Tian; Jian Liu

doi:10.1117/12.538866

25 September 2003 SVM-based classification selection algorithm for the automatic selection of guide star

Sheng Zheng, Chengyi Xiong, Weiren Wu, Jinwen Tian, Jian Liu

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538866
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

A new general method of the automatic selection of guide star, which based on a new dynamic Visual Magnitude Threshold (VMT) hyper-plane and the Support Vector Machines (SVM), is introduced. The high dimensional nonlinear VMT plane can be easily obtained by using the SVM, then the guide star sets are generated by the SVM classifier. The experiment results demonstrate that the catalog obtained by the proposed algorithm has a lot of advantages including, fewer total numbers, smaller catalog size and better distribution uniformity.

Citation Download Citation

Sheng Zheng, Chengyi Xiong, Weiren Wu, Jinwen Tian, and Jian Liu "SVM-based classification selection algorithm for the automatic selection of guide star", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538866

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