A Combination of Multiple Deep Learning Methods Applied to Small-Sample Space Objects Classification

Shi-yu DENG; Cheng-zhi LIU; Yong TAN; De-long LIU; Nan ZHANG; Zhe KANG; Zhen-wei LI; Cun-bo FAN; Chun-xu JIANG; Zhong LÜ

doi:10.3964/j.issn.1000-0593(2022)02-0609-07

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 2 >Page 609 > Article

Spectroscopy and Spectral Analysis
Vol. 42, Issue 2, 609 (2022)

A Combination of Multiple Deep Learning Methods Applied to Small-Sample Space Objects Classification

Shi-yu DENG^1、*, Cheng-zhi LIU^{1、1; 4; *;}, Yong TAN^{3、3; *;}, De-long LIU^1、1;, Nan ZHANG^1、1;, Zhe KANG^1、1;, Zhen-wei LI^1、1;, Cun-bo FAN^{1、1; 4;}, Chun-xu JIANG^3、3;, and Zhong LÜ^3、3;

Author Affiliations

¹1. Changchun Observatory of National Astronomical Observators, Chinese Academy of Sciences, Changchun 130117, China

³3. School of Science, Changchun University of Science and Technology, Changchun 130022, China

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DOI: 10.3964/j.issn.1000-0593(2022)02-0609-07 Cite this Article

Shi-yu DENG, Cheng-zhi LIU, Yong TAN, De-long LIU, Nan ZHANG, Zhe KANG, Zhen-wei LI, Cun-bo FAN, Chun-xu JIANG, Zhong LÜ. A Combination of Multiple Deep Learning Methods Applied to Small-Sample Space Objects Classification[J]. Spectroscopy and Spectral Analysis, 2022, 42(2): 609 Copy Citation Text

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