Directory Listing
Ali
Gurbuz
Center for Advanced Vehicular Systems
Faculty
Gurbuz
Center for Advanced Vehicular Systems
Faculty
Research Interest
Signal processing & Machine Learning
Deep learning-based Inverse Problems and Signal Processing
Computational imaging, Sparse Signal Processing, Compressive Sensing
Machine Learning for Autonomous Systems, Off-Road Autonomy
UAV based Smart Sensing Systems
Machine Learning for Radar and Remote Sensing Systems
Radar and Array Signal Processing
Deep learning-based Inverse Problems and Signal Processing
Computational imaging, Sparse Signal Processing, Compressive Sensing
Machine Learning for Autonomous Systems, Off-Road Autonomy
UAV based Smart Sensing Systems
Machine Learning for Radar and Remote Sensing Systems
Radar and Array Signal Processing
Selected Publications
Total Publications: 5
Senyurek, V., Gurbuz, A., & Kurum, M. (2021). Assessment of Interpolation Errors of CYGNSS Soil Moisture Estimations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14, 1. DOI:10.1109/JSTARS.2021.3113565. [Document] [Document Site]
Kurum, M., Gurbuz, A., Barnes, S., Boyd, D. R., Farhad, M., & Senyurek, V. (2021). A UAS-based RF Testbed for Water Utilization in Agroecosystems. Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI. Proc. SPIE 11747: International Society for Optics and Photonics. 11747, 117470J. DOI:10.1117/12.2591895. [Abstract] [Document Site]
Senyurek, V., Lei, F., Boyd, D., Gurbuz, A., Kurum, M., & Moorhead, R. J. (2020). Evaluations of Machine Learning-Based CYGNSS Soil Moisture Estimates against SMAP Observations. Remote Sensing. 12(21), 3503. DOI:10.3390/rs12213503. [Abstract] [Document Site]
Lei, F., Senyurek, V., Boyd, D., Kurum, M., Gurbuz, A., & Moorhead, R. J. (2020). Machine-Learning Based Retrieval of Soil Moisture at High Spatio-Temporal Scales Using CYGNSS and SMAP Observations. IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. International Geoscience and Remote Sensing Symposium: IEEE. 4470-4473. DOI:10.1109/IGARSS39084.2020.9323106. [Document Site]
Senyurek, V., Lei, F., Boyd, D., Kurum, M., Gurbuz, A., & Moorhead, R. J. (2020). Machine Learning-based CYGNSS Soil Moisture Estimates over ISMN Sites in CONUS. Remote Sensing. 12(7), 1168. DOI:10.3390/rs12071168. [Abstract] [Document Site]
Kurum, M., Gurbuz, A., Barnes, S., Boyd, D. R., Farhad, M., & Senyurek, V. (2021). A UAS-based RF Testbed for Water Utilization in Agroecosystems. Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI. Proc. SPIE 11747: International Society for Optics and Photonics. 11747, 117470J. DOI:10.1117/12.2591895. [Abstract] [Document Site]
Senyurek, V., Lei, F., Boyd, D., Gurbuz, A., Kurum, M., & Moorhead, R. J. (2020). Evaluations of Machine Learning-Based CYGNSS Soil Moisture Estimates against SMAP Observations. Remote Sensing. 12(21), 3503. DOI:10.3390/rs12213503. [Abstract] [Document Site]
Lei, F., Senyurek, V., Boyd, D., Kurum, M., Gurbuz, A., & Moorhead, R. J. (2020). Machine-Learning Based Retrieval of Soil Moisture at High Spatio-Temporal Scales Using CYGNSS and SMAP Observations. IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. International Geoscience and Remote Sensing Symposium: IEEE. 4470-4473. DOI:10.1109/IGARSS39084.2020.9323106. [Document Site]
Senyurek, V., Lei, F., Boyd, D., Kurum, M., Gurbuz, A., & Moorhead, R. J. (2020). Machine Learning-based CYGNSS Soil Moisture Estimates over ISMN Sites in CONUS. Remote Sensing. 12(7), 1168. DOI:10.3390/rs12071168. [Abstract] [Document Site]