IEEE Transactions on Geoscience and Remote Sensing· 2016Q1
Target Classification Using the Deep Convolutional Networks for SAR Images
- 1,315citations
- Q1SCImago
- 2016year
Short summary
An all-convolutional network (A-ConvNets) achieves 99% average accuracy classifying ten-class targets in SAR images, outperforming traditional ConvNets by eliminating fully connected layers to prevent overfitting on limited data.
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