A Domain Adaptation Network for Cross-Imaging Satellites Sar Image Ship Classification
Siyuan Zhao, Yin Xu, Ying Luo, Weiwei Guo, Bin Cai, Zenghui Zhang · IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium · 2022
Aiming at the problem of ship classification in Synthetic Aperture Radar (SAR) images crossing different imaging satellites, we propose a novel domain adaptation (DA) network. For the proposed DA network, we consider one labeled SAR image dataset as source domain and another unlabeled dataset acquired by a different imaging satellite as target do-main. First, the structural regularization of the source domain is achieved by jointly training the feature classifier and the domain classifier. Then, by minimizing the KL-divergence between the label distribution predicted by the network and the introduced auxiliary distribution, the cluster alignment of the target domain is further realized. The experimental results on the datasets obtained from different satellites verify the performance of proposed method is better than state-of-the-art DA method.