We have developed novel ship detectors from SAR and Optical Satellite Images based on deep learning. For arbitrary-oriented ship detection from optical satellite images, we presented rotated region proposal and discrimination Convolutional Neural Networks to deal with this task. We also developed a coupled CNN for small and densely clustered SAR ship detection.

Z. Zhang, W. Guo, S. Zhu and W. Yu, "Toward Arbitrary-Oriented Ship Detection With Rotated Region Proposal and Discrimination Networks," in IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 11, pp. 1745-1749, Nov. 2018

Juanping Zhao, Weiwei Guo, Zenghui Zhang, Wenxian Yu.A coupled convolutional neural network for small and densely clustered ship detection in SAR images. SCIENCE CHINA Information Sciences 62(4): 42301:1-42301:16 (2019)

Juanping Zhao, Zenghui Zhang, Wenxian Yu, Trieu-Kien Truong. A Cascade Coupled Convolutional Neural Network Guided Visual Attention Method for Ship Detection From SAR Images. IEEE Access 6: 50693-50708 (2018)

陈慧元, 刘泽宇, 郭炜炜, 等. 基于级联卷积神经网络的大场景遥感图像舰船目标快速检测方法[J]. 雷达学报, 2019, 8(3): 413–424. doi: 10.12000/JR19041