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Parallel Connected Generative Adversarial Network with Quadratic Operation for SAR Image Generation and Application for Classification
Thanks to the availability of large-scale data, deep Convolutional Neural Networks (CNNs) have witnessed success in various applications of computer vision. However, the performance of CNNs on Synthetic Aperture Radar (SAR) image classification is unsatisfactory due to the lack of well-labeled SAR d...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6412347/ https://ncbi.nlm.nih.gov/pubmed/30791500 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19040871 |
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