Jul 19, 2022 · To this end, we propose an end-to-end multi-input convolutional gated recurrent unit neural network, called MIConvGRU, for RATR by both ...
Jul 28, 2022 · performance of radar HRRP targets, this letter proposes a multi-input convolutional gated recurrent unit (MIConvGRU) network to effectively ...
Radar HRRP Target Recognition Method Based on Multi-Input Convolutional Gated Recurrent Unit With Cascaded Feature Fusion · IEEE Geoscience and Remote Sensing ...
Aug 22, 2023 · Radar HRRP target recognition method based on multi-input convolutional gated recurrent unit with cascaded feature fusion. IEEE Geosci ...
To overcome this limitation, Liu et al. [10] proposes a target aware two-dimensional recurrent neural network (TATDRNN) to solve the cross-temporal dependencies ...
2022. Radar HRRP target recognition method based on multi-input convolutional gated recurrent unit with cascaded feature fusion. Z Zeng, J Sun, Z Han, W Hong.
Finally, the target is recognized through inputting embedded representation as a time sequence into the stacked bidirectional recurrent neural network (bi-RNN) ...
... Radar HRRP target recognition method based on multi-input convolutional gated recurrent unit with cascaded feature fusion, IEEE Geosci. Remote Sens. Lett ...
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What is HRRP in radar?
Apr 23, 2023 · Aiming at the limitations of a single High Resolution Range Profile (HRRP) in recognition, this paper proposes a Time step Correlation-based ...
Missing: Cascaded | Show results with:Cascaded
A prior-knowledge-guided neural network (PriorK-NN) is proposed for HRRP target recognition, which incorporates prior-knowledge about scattering centers and ...