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Target Recognition in SAR Images by Deep Learning with Training Data Augmentation
Mass production of high-quality synthetic SAR training imagery is essential for boosting the performance of deep-learning (DL)-based SAR automatic target recognition (ATR) algorithms in an open-world environment. To address this problem, we exploit both the widely used Moving and Stationary Target A...
Autores principales: | Geng, Zhe, Xu, Ying, Wang, Bei-Ning, Yu, Xiang, Zhu, Dai-Yin, Zhang, Gong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863010/ https://www.ncbi.nlm.nih.gov/pubmed/36679740 http://dx.doi.org/10.3390/s23020941 |
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