1. Tan Ke, Zhou, hengqi., Lu, Xingyu, Yang, Jjianchao, Su, Weimin and Gu, Hong. Real Aperture Radar Super-Resolution Imaging for Sea Surface Monitoring Based on a Hybrid Model. Sensors, 2023, 23(23), 9609.
2. Tan Ke, Lu Xingyu, Yang Jianchao, Su Weimin and Gu Hong. A novel Bayesian super-resolution method for radar forward-looking imaging based on Markov random field model. Remote Sensing, 2021, 13(20), 4115.
3. Tan Ke, Zhou, Sengqi, Lu Xingyu, Yang Jianchao, Su Weimin, and Gu Hong. Scanning Radar Super-Resolution Imaging for Sea Surface Target Based on a Novel Observation Model. IEEE International Conference on Electronic Information Engineering and Computer Science (EIECS), 2023 .
4. Tan Ke, Yang Jianchao, Lu Xingyu, Su Weimin and Gu Hong. A super-resolution imaging method for real-aperture scanning radar based on mrf prior model. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021.
5. Zhang Tingting, Tan Ke, Lu Xingyu, Su Weimin, Gu Hong and Wang Chenchen. Clutter suppression and moving target indication using Deramp-STAP with Radon transform for multichannel HRWS SAR system. IEEE Radar Conference (RadarConf20), 2020.
6. Lu Xingyu, Tan Ke, Su Weimin, Gu Hong, Zhang Hailong and Bo Chao. IEEE International Conference on Advances in Computer Technology, Information Science and Communication (CTISC), 2021.
7. Lu Xingyu, Yang Jianchao, Tan Ke, Su Weimin, and Gu Hong. Range-Doppler image reconstruction for collocated MIMO noise radar by sparse recovery. Remote Sensing Letters, 2022, 13(3), 279-289.
8. Zhang Tingting, Gu Hong, Su Weimin and Tan Ke. Ground moving target indication and parameter estimation algorithm using deramp space-time adaptive processing. Journal of Applied Remote Sensing, 2021, 15(2), 024509-024509.
9. Lu Xingyu, Wang Chenchen, Xu Xiaofeng, Yang Huizhang, Zhang Shiyuan, Tan Ke and Gu Hong. Automatic RFI identification for Sentinel-1 based on Siamese-type deep CNN using repeat-pass images. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 1-16.
10.杨建超, 陆星宇,谭珂,顾红.基于小波变换与NLTV的稀疏孔径ISAR成像[J]. 华中科技大学学报(自然科学版),2022,50(05):78-83.