Polarimetric HRRP Target Recognition Based on Convlstm

The high resolution range profiles (HRRPs) of different polarimetric channels can enhance the recognition performance. Few existing methods focus on combining the structure information with correlation between different polarimetric channels. In this paper, we applied ConvLSTM to polarimetric HRRP target recognition. ConvLSTM can be used to combine the structure information with correlation due to the convolution operation and feedback mechanism. The HRRPs from different channels are regarded as the sequential inputs in ConvLSTM. The convolution operation can extract structure information and the feedback mechanism can exploit the correlation between different polarimetric channels. The experimental results demonstrate that the polarimetric HRRP recognition method based on ConvLSTM outperforms the state-of-art methods as well.