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Publications about 'unmanned aerial vehicle synthetic aperture radar applications'

Articles in journal or book chapters

  1. S. Zhou, L. Yang, L. Zhao, and G. Bi. Quasi-Polar-Based FFBP Algorithm for Miniature UAV SAR Imaging Without Navigational Data. IEEE Transactions on Geoscience and Remote Sensing, 55(12):7053-7065, December 2017. Keyword(s): autonomous aerial vehicles, image resolution, radar imaging, radar resolution, synthetic aperture radar, polar coordinate system, phase autofocusing, trajectory deviations, quasipolar grid image, data-driven motion compensation, back-projection algorithm, unmanned aerial vehicle synthetic aperture radar applications, time-domain algorithms, trajectory designation, flexible geometric configuration, navigational data, miniature UAV SAR imaging, FFBP algorithm, miniature UAV-SAR test bed, raw data experiments, high-resolution SAR applications, image focusing quality, analytical image spectrum, phase errors, quasipolar coordinate system, Synthetic aperture radar, Trajectory, Unmanned aerial vehicles, Signal processing algorithms, Algorithm design and analysis, Fast factorized back-projection (FFBP), motion compensation (MOCO), quasi-polar coordinate system, synthetic aperture radar (SAR), unmanned aerial vehicle (UAV). [Abstract] [bibtex-entry]


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Disclaimer:

Please note that access to full text PDF versions of papers is restricted to the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, ETH Zurich.
Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.

This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME should NOT be mistaken for a complete bibliography of that author.




Last modified: Fri Feb 24 14:25:29 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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