Joint Embedding and Classification for SAR Target Recognition

arXiv: Computer Vision and Pattern Recognition, Volume abs/1712.01511, 2017.

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Abstract:

Deep learning can be an effective and efficient means to automatically detect and classify targets in synthetic aperture radar (SAR) images, but it is critical for trained neural networks to be robust to variations that exist between training and test environments. The layers in a neural network can be understood as successive transformat...More

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