SAR target recognition method of MSTAR data set based on multi-feature fusion-Reference-Cited by-同舟云学术

SAR target recognition method of MSTAR data set based on multi-feature fusion

Published:2022-01 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Big Data, Information and Computer Network (BDICN)
language:
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Author:

Shi Ji¹

Affiliation:

1. The Second Research Institute of China Aerospace Science and Industry Corporation,Beijing Institute of Remote Sensing Equipment,Beijing,China

Publisher

IEEE

Link

Reference21 articles.

1. Joint multi-feature MSTAR data set SAR target recognition method [J/OL];zhao;Engineering Journal of Wuhan University (Engineering Edition),2021

2. SAR target recognition based on wavelet transform and deep sparse coding[J];li;Television Technology,2014

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2. Analysis of Deep Neural Networks for Military Target Classification using Synthetic Aperture Radar Images;2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT);2023-11-20

3. Effect of Partial Fine-Tuning of SqueezeNet on MSTAR for Automatic Military Target Recognition;2023 IEEE International Workshop on Technologies for Defense and Security (TechDefense);2023-11-20