Research on Space Object’s Materials Multi-Color Photometry Identification Based on the Extreme Learning Machine Algorithm

LI Peng; LI Zhi; XU Can; FANG Yu-qiang; ZHANG Feng

doi:10.3964/j.issn.1000-0593(2019)02-0363-07

Journals >Spectroscopy and Spectral Analysis >Volume 39 >Issue 2 >Page 363 > Article

Spectroscopy and Spectral Analysis
Vol. 39, Issue 2, 363 (2019)

Research on Space Object’s Materials Multi-Color Photometry Identification Based on the Extreme Learning Machine Algorithm

LI Peng¹, LI Zhi², XU Can², FANG Yu-qiang², and ZHANG Feng¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2019)02-0363-07 Cite this Article

LI Peng, LI Zhi, XU Can, FANG Yu-qiang, ZHANG Feng. Research on Space Object’s Materials Multi-Color Photometry Identification Based on the Extreme Learning Machine Algorithm[J]. Spectroscopy and Spectral Analysis, 2019, 39(2): 363 Copy Citation Text

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References

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[2] Linares R, Leve F A, Jan M K, et al. Adv. Astronaut Sci., 2012, 144: 41.

[4] Jin Xiaolong, Tang Yijun, Sui Chenghua. Optics and Electronics, 2013, 40(12): 44.

[5] Zhao X F, Zhang H Y, Yu Y, et al. Advances in Space Research, 2016, 58(11): 2269.

[6] Howard M, Klem B, Gorman J. Advanced Maui Optical and Space Surveillance Technologies Conference. Kihei: Maui Economic Devepment, 2015.

[8] Singh N, Horwood J T, Aristoff J M, et al. In: Proceedings of the 26th AAS/AIAA Space Flight Mechanics Meeting, Napa: AIAA, 2016.

[9] Huang G B, Zhou H, Ding X, et al. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012, 42(2): 513.

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