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SAR Automatic Target Recognition Based on Deep Convolutional Neural Networks

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Figure

Figure 1. The proposed deep convolutional network architecture.
Table 1. Training set and testing samples for three classes of targets.
Table 2. Confusion matrix for the testing set with three classes of targets.
Table 5.  Confusion matrix and recognition accuracy for CNN method with ten classes of testing targets.

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