Efficient complex ISAR object recognition using adaptive deep relation learning-Reference-Cited by-同舟云学术

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Efficient complex ISAR object recognition using adaptive deep relation learning

Published:2020-03-25 Issue:5 Volume:14 Page:185-191
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Liu Chunsheng¹,Wang Zhongmei¹

Affiliation:

1. School of Mathematics and StatisticsHunan University of CommerceChangshaPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2019.0200

Reference20 articles.

1. DIOD: Fast and Efficient Weakly Semi-Supervised Deep Complex ISAR Object Detection

2. Online feature transformation learning for cross‐domain object category recognition;Zhang X.;IEEE Trans. Neural Netw. Learn. Syst.,2018

3. A New Trajectory Deformation Algorithm Based on Affine Transformations

4. Spectral–spatial scale‐invariant feature transform for hyperspectral images;Al‐Khafaji S.L.;IEEE Trans. Image Process.,2018

5. Real‐world ISAR object recognition using deep multimodal relation learning;Xue B.;IEEE Trans. Cybern.,2019

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1. Domain Adaptive Few-Shot Learning for ISAR Aircraft Recognition with Transferred Attention and Weighting Importance;Electronics;2023-07-02

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