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TAI-SARNET: Deep Transferred Atrous-Inception CNN for Small Samples SAR ATR
Since Synthetic Aperture Radar (SAR) targets are full of coherent speckle noise, the traditional deep learning models are difficult to effectively extract key features of the targets and share high computational complexity. To solve the problem, an effective lightweight Convolutional Neural Network...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146637/ https://www.ncbi.nlm.nih.gov/pubmed/32204506 http://dx.doi.org/10.3390/s20061724 |