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Group-Fusion One-Dimensional Convolutional Neural Network for Ballistic Target High-Resolution Range Profile Recognition with Layer-Wise Auxiliary Classifiers

Crossref DOI link: https://doi.org/10.1007/s44196-023-00372-w

Published Online: 2023-11-30

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Xiang, Qian https://orcid.org/0000-0001-6810-8446
Wang, Xiaodan https://orcid.org/0000-0003-2785-9539
Lai, Jie https://orcid.org/0000-0002-1028-8162
Song, Yafei https://orcid.org/0000-0003-0962-0671
Li, Rui https://orcid.org/0000-0003-1770-906X
Lei, Lei https://orcid.org/0000-0001-8415-8611
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61876189, 61273275, 61806219, 61703426, 61503407)

Young Talent Fund of University Association for Science and Technology in Shaanxi, China (20190108, 20220106)

Innovation Talent Supporting Project of Shaanxi, China (2020KJXX-065)
License Information

Text and Data Mining valid from 2023-11-30

Version of Record valid from 2023-11-30
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Article History

Received: 12 August 2023

Accepted: 19 November 2023

First Online: 30 November 2023

Declarations

:

: The authors declare no conflict of interest.

: Not applicable.

: Not applicable.

: Not applicable.

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