[1] 多时相合成孔径雷达干涉测量（MT-InSAR）的自适应时空算法设计与优化

Ø基于静态-动态MT-InSAR结合的形变测量与形变解译

Ø基于多时相SAR的城市区域静态-动态变化检测

Ø多基线SAR三维相位解缠算法与地表三维模型重构

[2] 新体制SAR系统设计与应用分析

[3] 时空数据统计建模

[4] 参数反演优化算法

同济大学光华奖学金2017

同济大学优秀博士奖学金2019

APSAR2019国际会议优秀论文奖

2020.8-至今, 复旦大学，博士后，电磁波信息科学教育部重点实验室; 合作导师：徐丰教授

2017.10-2019.10, 代尔夫特理工大学，联合培养博士，遥感与地球科学系; 合作导师：Ramon Hanssen 教授

2014.9-2020.7, 同济大学，工学博士，测绘科学与技术

2010.9-2014.8, 同济大学，工学学士，测绘工程

一、期刊论文

[1] F. Hu*, F. Wang, Y. Ren, F. Xu, X. Qiu, C. Ding, Y. Jin, Error Analysis and 3D Reconstruction Using Airborne Array InSAR Images, ISPRS Journal of Photogrammetry and Remote Sensing, 190，2022. (SCI, IF 11.7)，WOS:000817900400002，2022-8-18，113-128

[2] F. Hu, F. Wang, H. Yu, F. Xu*, Asymptotic 3D Phase Unwrapping for Very Sparse Airborne Array-InSAR Images, IEEE Transactions on Geoscience and Remote Sensing, 2022. (SCI, IF 8.1)WOS:000855545400017，2022-7-18

[3] F. Hu*, F. Leijen, L. Chang, J. Wu, R. F. Hanssen, Combined Detection of Surface Changes and Deformation Anomalies using Amplitude-augmented Recursive InSAR Time Series, IEEE Transactions on Geoscience and Remote Sensing, 60，2022. (SCI, IF 8.1)WOS:000733499600001，2021-7-8

[4] F. Hu, F. Xue, F. Xu*, System Concepts and Potential Applications of A Tri-beam Spaceborne SAR Mission, IEEE Transactions on Geoscience and Remote Sensing, 60，2022. (SCI, IF 8.1)WOS:000733559400001，2021-10-18

[5] F. Hu*, H. Kevin, A. Pier, R. F. Hanssen, On the Value of LES Models for Evaluating Spatio-Temporal Tropospheric Variability in Multi-Temporal SAR Interferograms, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,15，2022 (SCI, IF 4.71)7088-7099，WOS:000849263100011，2022-9-10

[6] F. Hu*, J. Wu, Detecting Spatio-temporal Urban Surface Changes Using Identified Temporary Coherent Scatterers, Journal of Systems Engineering and Electronics, 32(6), 2021. 1304-1317 (SCI, IF 1.41),WOS:000742100300008, 2022-01-19

[7] F. Hu*, J. Wu, L. Chang, R. F. Hanssen, Incorporating Temporary Coherent Scatterers in Multi-temporal InSAR Using Adaptive Temporal Subsets. IEEE Transactions on Geoscience and Remote Sensing, 2019. (SCI, IF 8.1)

[8] F. Hu*, F. Leijen, L. Chang, J. Wu, R. F. Hanssen, Monitoring Deformation along Railway Systems Combining Multi-Temporal InSAR and LiDAR Data. Remote Sensing, 2019. (SCI, IF 5.35)

[9] F. Hu, J. Wu*, Improvement of the Multi-temporal InSAR Method using Reliable Arc Solutions, International Journal of Remote Sensing, 2018. (SCI, IF 3.35)

[10] J. Wu*, F. Hu, Monitoring Ground Subsidence Along the Shanghai Maglev Zone Using TerraSAR-X Images, IEEE Geoscience and Remote Sensing Letters, 2017. (SCI, IF 5.34)

[11] 胡凤鸣*，伍吉仓. 时序合成孔径雷达干涉测量的多级化解算, 同济大学学报(自然科学版), 2019, 47(12): 1817-1824.

[12] S. Kahar, F. Hu and F. Xu*, Ship Detection in Complex Environment Using SAR Time Series, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15，2022. (SCI, IF 4.71) 3552-3563，WOS:000855545400017，2022-5-29

[13] Y. Ren, A. Xiao, F. Hu et al., Coprime Sensing for Airborne Array Interferometric SAR Tomography, IEEE Transactions on Geoscience and Remote Sensing, 2022. (SCI, IF 8.1)WOS:000815664200007，2022-7-6

二、会议论文

[1] F. Hu, F. Wang and F. Xu, On the Value of 3D Reconstruction In Urban Areas Using Three Channel Airborne Array-InSAR Images, 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022.

[2] F. Hu and R. F. Hanssen, Spatio-Temporal Tropospheric Variability in SAR Interferograms with Extremely High Temporal Resolution, 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021.

[3] F. Hu and F. Xu, Conceptual Study of Tri-beam Spacebrone SAR, 2021 International Applied Computational Electromagnetics Society (ACES-China) Symposium, 2021.

[4] F. Hu, J. Wu. Spatial-temporal change detection in urban area using adaptive temporal subset multi-temporal InSAR method. IEEE 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), Xiamen, 2019, pp. 987-992.

[5] F. Hu, J. Wu. Real-time analysis of InSAR data for deformation monitoring jointly with recursive amplitude and phase process. IEEE 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), Xiamen, 2019, 1402-1407. (Excellent paper)

[6] F. Hu and J. Wu, The analysis of reliable ARC solution in the multi-temporal InSAR, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017.

[7] J. Wu, F. Hu and T. Yang, Ground subsidence monitoring along the levee of Huangpu River by multi-platform high-resolution SAR images, 2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA), 2016.

[8] J. Wu and F. Hu, Ground subsidence monitoring of high speed roads by using PS-InSAR method, 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2015.

软件著作权一项：多时相合成孔径雷达数据的多级化处理软件