Short Biography

Dr. Falin WU is an Associate Professor in the Satellite Navigation and Remote Sensing (SNARS) Laboratory at the School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.

Dr. WU received his Ph.D. degree from Tokyo University of Marine Science and Technology, Japan. After completing his Ph.D. degree in 2004 he spent four years working at RMIT University in the School of Mathematical and Geospatial Sciences as a Research Fellow.

Dr. WU is a member of the Institute of Electrical and Electronics Engineers (IEEE), and was a professional member of the Institute of Navigation (ION) and a member of American Geophysical Union Science and Society (AGU). His research interests include satellite positioning and navigation, GNSS/PNT technologies, remote sensing and GIS, satellite signal processing, multi-sensor integration, ionospheric physics and modeling, weather forecasting, NWP, GNSS meteorology, space geodesy, image processing and computer vision, machine learning/deep learning for space applications.

SNARS Laboratory is a multi-discipline, multi-culture and innovative research group. More than 45 international students from 19 countries have been conducting their research in the SNARS Laboratory. Twelve international students won the award for "Excellent International Graduate" of Beihang University. SNARS seeks self-motivated, talented, and collaborative researchers to join the laboratory. SNARS encourages prospective candidates to apply from any space technology and application related disciplines.

Research Area

1. Satellite Positioning and Navigation; Positioning Navigation and Timing technologies

2. Satellite Remote Sensing and Geospatial Information

3. Ionospheric Physics and Modeling

4. Weather Forecasting, Numerical Weather Prediction, GNSS Meteorology

5. Image Processing and Computer Vision

6. Machine Learning / Deep Learning for Space Applications

Courses

1. Undergraduate Course: Introduction to BeiDou Navigation Satellite System

2. Undergraduate Course: Principle of Satellite Navigation and Its Applications

3. Postgraduate Course: Advanced Satellite Navigation and Its Applications

4. Postgraduate Course: GNSS Principles and Methods

5. Postgraduate Course: Pilot Team Project

Papers & Books 

1. Wu, F., Yang, J., Qu, G., Liu, Y., Li, H., Cheng, Y., and Yang, D. (2026). A Deep Learning-Based Two-stage Feature Matching Method for Small Celestial Body 3D Shape Reconstruction. Icarus, 443, 116758, doi: 10.1016/j.icarus.2025.116758, SCIE (WOS:001561567700001).

2. Yang, D., Wu, F., Qu, G., Liu, Y., Cheng, Y., Aramayo, A., Zheng, Z., and Yang, Z. (2025). LGM-Det: A Lightweight Geometry-Aware Multi-Scale Detector for Oriented Ship Target Detection in SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 25702-25720, doi: 10.1109/JSTARS.2025.3616512, SCIE (WOS:001598833700012).

3. Tahir, A., Wu, F., Shah, M., Jamjareegulgarn, P., and Ameen, M. A. (2025). Hemispheric Responses of Ionosphere-Thermosphere to Intense Geomagnetic Storms over the East Asian-Australian Sector. Advances in Space Research, 76(10), 6238-6255, doi: 10.1016/j.asr.2025.08.063, SCIE (WOS:001606329900023).

4. Maleki, R., Wu, F., Qu, G., Oubara, A., and Yang, G. (2025). Enhancing Satellite Image Compositing with Temporal Proximity Weighting for Deep Learning–Based Cropland Segmentation. International Journal of Applied Earth Observation and Geoinformation, 143, 104804, doi: 10.1016/j.jag.2025.104804, SCIE (WOS:001595250000001).

5. Wu, F., Xia, Y., Ma, B., Hu, T., Yang, J., Li, H., and Huang, D. (2025). A Micro-Expression Recognition Network based on Attentions Mechanism and Motion Magnification. IEEE Transactions on Affective Computing, 16(3), 1379-1391, doi: 10.1109/TAFFC.2024.3510302, SCIE (WOS:001566948500011).

6. Wu, F., Li, H., Qu, G., Zhang, C., Liu, Y., Yang, J., Yang, D., and Cheng, Y. (2025). Attention-guided Multi-task Network for Streak-like Dim and Small Space Target Detection in Single Optical Images. Advances in Space Research, 75(12), 8728-8746, doi: 10.1016/j.asr.2025.04.012, SCIE (WOS:001501907500019).

7. Maleki, R., Wu, F., Qu, G., Oubara, A., Gantumur, B., and Yang, G. (2025). Optimizing Time Windows of Sentinel-2 Images for Deep Learning-Based Cropland Segmentation through Iterative Multi-Criteria Decision Analysis. Geocarto International, 40(1), 2509294, doi: 10.1080/10106049.2025.2509294, SCIE (WOS:001495340100001).

8. Oubara, A., Wu, F., Qu, G., Maleki, R., and Yang, G. (2025). Adversarial Learning Network for Multi-source Change Detection in Built-Up Areas: Integrating VHR RGB and Multispectral Imagery. International Journal of Digital Earth, 18(1), 2503443, doi: 10.1080/17538947.2025.2503443, SCIE (WOS:001487998900001).

9. Sarwar, S., Khan, H. U. A., Wu, F., Hasan, S., Zohaib, M., Abbasi, M., and Hu, T. (2025). Forecasting Urban Sprawl Dynamics in Islamabad: A Neural Network Approach. Remote Sensing, 17(3), 492, doi: 10.3390/rs17030492, SCIE (WOS:001419595600001).

10. Maleki, R., Wu, F., Qu, G., Oubara, A., Fathollahi, L., and Yang, G. (2025). Adaptive Month Matching: A Phenological Alignment Method for Transfer Learning in Cropland Segmentation. Remote Sensing, 17(2), 283, doi: 10.3390/rs17020283, SCIE (WOS:001404676500001).

11. Oubara, A., Wu, F., Qu, G., Maleki, R., and Yang, G. (2025). Enhancing Binary Change Detection in Hyperspectral Images Using an Efficient Dimensionality Reduction Technique Within Adversarial Learning. Remote Sensing, 17(1), 5, doi: 10.3390/rs17010005, SCIE (WOS:001393798000001).

12. Maleki, R., Wu, F., Oubara, A., Fathollahi, L., and Yang, G. (2024). Refinement of Cropland Data Layer with Effective Confidence Layer Interval and Image Filtering. Agriculture, 14(8), 1285, doi: 10.3390/agriculture14081285, SCIE (WOS:001304998000001).

13. Wu, F., Hu, T., Xia, Y., Ma, B., Sarwar, S., and Zhang, C. (2024). WDFA-YOLOX: A Wavelet-Driven and Feature-Enhanced Attention YOLOX Network for Ship Detection in SAR Images. Remote Sensing, 16(10), 1760, doi: 10.3390/rs16101760, SCIE (WOS:001233305700001).

14. Tahir, A., Wu, F., Shah, M., Amory-Mazaudier, C., Jamjareegulgarn, P., Verhulst, T. G. W., and Ameen, M. A. (2024). Multi-Instrument Observation of the Ionospheric Irregularities and Disturbances during the 23–24 March 2023 Geomagnetic Storm. Remote Sensing, 16(9), 1594, doi: 10.3390/rs16091594, SCIE (WOS:001219838200001).

15. Oubara, A., Wu, F., Maleki, R., Ma, B., Amamra, A., and Yang, G. (2024). Enhancing Adversarial Learning-Based Change Detection in Imbalanced Datasets Using Artificial Image Generation and Attention Mechanism. ISPRS International Journal of Geo-Information, 13(4), 125, doi: 10.3390/ijgi13040125, SCIE (WOS:001210309600001).

16. Kralfallah, M., Wu, F., Tahir, A., Oubara, A., and Sui, X. (2024). Optimizing the Deployment of Ground Tracking Stations for Low Earth Orbit Satellite Constellations Based on Evolutionary Algorithms. Remote Sensing, 16(5), 810, doi: 10.3390/rs16050810, SCIE (WOS:001182955400001).

17. Ma, B., Wu, F., Hu, T., Fathollahi, L., Sui, X., Liu, Y., and Gantumur, B. (2024). Label-Driven Graph Convolutional Network for Multilabel Remote Sensing Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 2245-2255, doi: 10.1109/JSTARS.2023.3344106, SCIE (WOS:001140808700007).

18. Fathollahi, L., Wu, F., Maleki, R., and Pongracic, B. (2023). PM2.5 Concentrations Estimation Using Machine Learning Methods with Combination of MAIAC - MODIS AOD Product - A case study in western Iran. Air Quality, Atmosphere & Health, 16, 1529-1541, doi: 10.1007/s11869-023-01354-9, SCIE (WOS:001025412700001).

19. Pongracic, B., Wu, F., Fathollahi, L., and Brčić, D. (2019). Midlatitude Klobuchar Correction Model Based on the K-means Clustering of Ionospheric Daily Variations. GPS Solutions, 23(3), 80, doi: 10.1007/s10291-019-0871-x, SCIE (WOS:000469888200001).

20. Wu, F., and Zhao, Y. (2017). Global Navigation Satellite System - Principle and Applications. Beijing, China: Beihang University Press.