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ultra-wideband bistatic synthetic aperture radar (VHF UWB BiSAR) can conduct high-resolution and wide-swath imaging for ocean scenes. However, GEO spaceborne\u2013airborne VHF UWB BiSAR imaging faces some challenges such as the geometric configuration, huge amount of echo data, serious range\u2013azimuth coupling, large spatial variance, and complex motion error, which increases the difficulty of the high-efficiency and high-precision imaging. In this paper, we present an improved bistatic fast factorization backprojection (FFBP) algorithm for ocean scene imaging using the GEO satellite-unmanned aerial vehicle (GEO-UAV) VHF UWB BiSAR, which can solve the above issues with high efficiency and high precision. This method reconstructs the subimages in the orthogonal elliptical polar (OEP) coordinate system based on the GEO satellite and UAV trajectories as well as the location of the imaged scene, which can further reduce the computational burden. First, the imaging geometry and signal model of the GEO-UAV VHF UWB BiSAR are established, and the construction of the OEP coordinate system and the subaperture imaging method are proposed. Moreover, the Nyquist sampling requirements for the subimages in the OEP coordinate system are derived from the range error perspective, which can offer a near-optimum tradeoff between precision and efficiency. In addition, the superiority of the OEP coordinate system is analyzed, which demonstrates that the angular dimensional sampling rate of the subimages is significantly reduced. Finally, the implementation processes and computational burden of the proposed algorithm are provided, and the speed-up factor of the proposed FFBP algorithm compared with the BP algorithm is derived and discussed. Experimental results of ideal point targets and natural ocean scenes demonstrate the correctness and effectiveness of the proposed algorithm, which can achieve near-optimal imaging performance with a low computational burden.<\/jats:p>","DOI":"10.3390\/rs15082215","type":"journal-article","created":{"date-parts":[[2023,4,21]],"date-time":"2023-04-21T10:11:25Z","timestamp":1682071885000},"page":"2215","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Fast Factorized Backprojection Algorithm in Orthogonal Elliptical Coordinate System for Ocean Scenes Imaging Using Geosynchronous Spaceborne\u2013Airborne VHF UWB Bistatic SAR"],"prefix":"10.3390","volume":"15","author":[{"given":"Xiao","family":"Hu","sequence":"first","affiliation":[{"name":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China"},{"name":"Science and Technology on Near-Surface Detection Laboratory, Wuxi 214035, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongtu","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China"},{"name":"Science and Technology on Near-Surface Detection Laboratory, Wuxi 214035, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Early Warning Technology, Air Force Early Warning Academy, Wuhan 430019, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China"},{"name":"Science and Technology on Near-Surface Detection Laboratory, Wuxi 214035, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinfeng","family":"He","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiliang","family":"Yi","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hejun","family":"Jiang","sequence":"additional","affiliation":[{"name":"Science and Technology on Near-Surface Detection Laboratory, Wuxi 214035, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Dai, Z., Li, H., Liu, D., Wang, C., Shi, L., and He, Y. (2022). SAR Observation of Waves under Ice in the Marginal Ice Zone. J. Mar. Sci. Eng., 10.","DOI":"10.3390\/jmse10121836"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"878","DOI":"10.1109\/JSTARS.2022.3230441","article-title":"Tropical Cyclone Wind Direction Retrieval from Dual-Polarized SAR Imagery Using Histogram of Oriented Gradients and Hann Window Function","volume":"16","author":"Ni","year":"2022","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Sun, Z., Meng, C., Cheng, J., Zhang, Z., and Chang, S. (2022). A Multi-Scale Feature Pyramid Network for Detection and Instance Segmentation of Marine Ships in SAR Images. Remote Sens., 14.","DOI":"10.3390\/rs14246312"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"970832","DOI":"10.3389\/fnbot.2022.970832","article-title":"High-Efficiency and Low-Energy Ship Recognition Strategy Based on Spiking Neural Network in SAR Images","volume":"16","author":"Xie","year":"2022","journal-title":"Front. Neurorobot."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Jiang, X., Xie, H., Chen, J., Zhang, J., Wang, G., and Xie, K. (2023). Arbitrary-Oriented Ship Detection Method Based on Long-Edge Decomposition Rotated Bounding Box Encoding in SAR Images. Remote Sens., 15.","DOI":"10.3390\/rs15030673"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"31143","DOI":"10.1109\/ACCESS.2020.2971660","article-title":"High-Efficiency and High-Precision Reconstruction Strategy for P-Band Ultra-Wideband Bistatic Synthetic Aperture Radar Raw Data Including Motion Errors","volume":"8","author":"Xie","year":"2020","journal-title":"IEEE Access"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1049\/iet-rsn.2009.0039","article-title":"Signal-to-Clutter Ratio Enhancement in Bistatic Very High Frequency (VHF)-Band SAR Images of Truck Vehicles in Forested and Urban Terrain","volume":"4","author":"Ulander","year":"2010","journal-title":"IET Radar Sonar Navig."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"An, D., Chen, L., Huang, X., Zhou, Z., Feng, D., and Jin, T. (2016, January 10\u201313). Bistatic P Band UWB SAR Experiment and Raw Data Processing. Proceedings of the 2016 CIE International Conference on Radar (RADAR), Guangzhou, China.","DOI":"10.1109\/RADAR.2016.8059205"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3360","DOI":"10.1109\/TGRS.2016.2516046","article-title":"Efficient Raw Signal Generation Based on Equivalent Scatterer and Subaperture Processing for One-Stationary Bistatic SAR Including Motion Errors","volume":"54","author":"Xie","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Cui, C., Dong, X., Chen, Z., Hu, C., and Tian, W. (2022). A Long-Time Coherent Integration STAP for GEO Spaceborne-Airborne Bistatic SAR. Remote Sens., 14.","DOI":"10.3390\/rs14030593"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Dong, X., Cui, C., Li, Y., and Hu, C. (2020). Geosynchronous Spaceborne-Airborne Bistatic Moving Target Indication System: Performance Analysis and Configuration Design. Remote Sens., 12.","DOI":"10.3390\/rs12111810"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Xu, W., Wei, Z., Huang, P., Tan, W., Liu, B., Gao, Z., and Dong, Y. (2020). Azimuth Multichannel Reconstruction for Moving Targets in Geosynchronous Spaceborne\u2013Airborne Bistatic SAR. Remote Sens., 12.","DOI":"10.3390\/rs12111703"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1109\/TGRS.2015.2457034","article-title":"Inclined Geosynchronous Spaceborne\u2013Airborne Bistatic SAR: Performance Analysis and Mission Design","volume":"54","author":"Sun","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1590","DOI":"10.1109\/LGRS.2019.2902036","article-title":"Geosynchronous Spaceborne\u2013Airborne Multichannel Bistatic SAR Imaging Using Weighted Fast Factorized Backprojection Method","volume":"16","author":"An","year":"2019","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1861","DOI":"10.1109\/TGRS.2018.2869835","article-title":"Azimuth Signal Multichannel Reconstruction and Channel Configuration Design for Geosynchronous Spaceborne\u2013Airborne Bistatic SAR","volume":"57","author":"Wu","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Wang, Z., Li, Y., Li, Y., Zhao, J., Huang, Y., and Shao, S. (2022, January 2\u20134). Research on Compound Scattering Modeling and Imaging Methods of Sea Surface Ship Target for GEO-UAV BiSAR. Proceedings of the 2022 3rd China International SAR Symposium (CISS), Shanghai, China.","DOI":"10.1109\/CISS57580.2022.9971252"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"3179","DOI":"10.1109\/TGRS.2008.921569","article-title":"An Improved NLCS Algorithm With Capability Analysis for One-Stationary BiSAR","volume":"46","author":"Qiu","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/TGRS.2007.909090","article-title":"Processing of Azimuth-Invariant Bistatic SAR Data Using the Range Doppler Algorithm","volume":"46","author":"Neo","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2224","DOI":"10.1109\/TGRS.2008.917497","article-title":"An Omega-K Algorithm With Phase Error Compensation for Bistatic SAR of a Translational Invariant Case","volume":"46","author":"Qiu","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1109\/TGRS.2008.2006275","article-title":"Chirp-Scaling Algorithm for Bistatic SAR Data in the Constant-Offset Configuration","volume":"47","author":"Wang","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1109\/TAES.2021.3098100","article-title":"Slow-Time FDA-MIMO Technique With Application to STAP Radar","volume":"58","author":"Wen","year":"2022","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Qi, C., Zeng, T., and Li, F. (2010, January 24\u201328). An Improved Nonlinear Chirp Scaling Algorithm with Capability Motion Compensation for One-Stationary BiSAR. Proceedings of the 2010 IEEE 10th International Conference on Signal Processing, Beijing, China.","DOI":"10.1109\/ICOSP.2010.5655845"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1109\/LGRS.2012.2198611","article-title":"One-Stationary Bistatic Side-Looking SAR Imaging Algorithm Based on Extended Keystone Transforms and Nonlinear Chirp Scaling","volume":"10","author":"Li","year":"2013","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Tang, W., Huang, B., Zhang, S., Wang, W., and Liu, W. (October, January 26). Focusing of Spaceborne SAR Data Using the Improved Nonlinear Chirp Scaling Algorithm. Proceedings of the 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA.","DOI":"10.1109\/IGARSS39084.2020.9323674"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Guo, Y., Huang, P., Xi, P., Liu, X., Liao, G., Chen, G., Liu, Y., and Lin, X. (2022, January 17\u201322). A Modified Omega-k Algorithm Based on A Range Equivalent Model for Geo Spaceborne-airborne Bisar Imaging. Proceedings of the 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia.","DOI":"10.1109\/IGARSS46834.2022.9883356"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Xie, H., Chen, L., An, D., Huang, X., and Zhou, Z. (2012, January 21\u201325). Back-Projection Algorithm Based on Elliptical Polar Coordinate for Low Frequency Ultra Wide Band One-Stationary Bistatic SAR Imaging. Proceedings of the 2012 IEEE 11th International Conference on Signal Processing, Beijing, China.","DOI":"10.1109\/ICoSP.2012.6491969"},{"key":"ref_27","unstructured":"Yegulalp, A.F. (1999, January 22\u201322). Fast Backprojection Algorithm for Synthetic Aperture Radar. Proceedings of the 1999 IEEE Radar Conference. Radar into the Next Millennium, Waltham, MA, USA."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1109\/TAES.2003.1238734","article-title":"Synthetic-Aperture Radar Processing Using Fast Factorized Back-Projection","volume":"39","author":"Ulander","year":"2003","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_29","unstructured":"Ulander, L.M.H., Flood, B., Froelind, P.-O., Jonsson, T., Gustavsson, A., Rasmusson, J., Stenstroem, G., Barmettler, A., and Meier, E. (2008, January 2\u20135). Bistatic Experiment with Ultra-Wideband VHF-Band Synthetic-Aperture Radar. Proceedings of the 7th European Conference on Synthetic Aperture Radar, Friedrichshafen, Germany."},{"key":"ref_30","unstructured":"Ulander, L.M.H., Froelind, P.-O., Gustavsson, A., Murdin, D., and Stenstroem, G. (2010, January 7\u201310). Fast Factorized Back-Projection for Bistatic SAR Processing. Proceedings of the 8th European Conference on Synthetic Aperture Radar, Aachen, Germany."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2949","DOI":"10.1109\/TAES.2011.6034676","article-title":"Efficient Time-Domain Image Formation with Precise Topography Accommodation for General Bistatic SAR Configurations","volume":"47","author":"Prats","year":"2011","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1982","DOI":"10.1109\/TAES.2013.6558032","article-title":"Fast Time-Domain Algorithms for UWB Bistatic SAR Processing","volume":"49","author":"Vu","year":"2013","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1109\/JSTARS.2014.2347413","article-title":"Fast Time-Domain Imaging in Elliptical Polar Coordinate for General Bistatic VHF\/UHF Ultra-Wideband SAR With Arbitrary Motion","volume":"8","author":"Xie","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1494","DOI":"10.1109\/JSTARS.2016.2639580","article-title":"Fast Factorized Backprojection Algorithm for One-Stationary Bistatic Spotlight Circular SAR Image Formation","volume":"10","author":"Xie","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2724","DOI":"10.1109\/TAES.2018.2828238","article-title":"An Extended Fast Factorized Back Projection Algorithm for Missile-Borne Bistatic Forward-Looking SAR Imaging","volume":"54","author":"Feng","year":"2018","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"3949","DOI":"10.1109\/JSTARS.2019.2945118","article-title":"Fast Factorized Backprojection Imaging Algorithm Integrated With Motion Trajectory Estimation for Bistatic Forward-Looking SAR","volume":"12","author":"Pu","year":"2019","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_37","first-page":"5225916","article-title":"A Novel CFFBP Algorithm With Noninterpolation Image Merging for Bistatic Forward-Looking SAR Focusing","volume":"60","author":"Li","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1508","DOI":"10.1109\/JSTARS.2019.2907138","article-title":"A New Fast Factorized Back Projection Algorithm for Bistatic Forward-Looking SAR Imaging Based on Orthogonal Elliptical Polar Coordinate","volume":"12","author":"Zhou","year":"2019","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1728","DOI":"10.1109\/JSTARS.2020.3002394","article-title":"Data-Driven Motion Compensation for Airborne Bistatic SAR Imagery Under Fast Factorized Back Projection Framework","volume":"14","author":"Bao","year":"2021","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_40","first-page":"1","article-title":"Efficient Fast Time-Domain Processing Framework for Airborne Bistatic SAR Continuous Imaging Integrated With Data-Driven Motion Compensation","volume":"60","author":"Xu","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1109\/TSP.2014.2375157","article-title":"Nyquist Sampling Requirements for Polar Grids in Bistatic Time-Domain Algorithms","volume":"63","author":"Vu","year":"2015","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Jakowatz, C.V., and Wahl, D.E. (2009, January 1). Considerations for Autofocus of Spotlight-Mode SAR Imagery Created Using a Beamforming Algorithm. Proceedings of the SPIE Defense, Security, and Sensing, Orlando, FL, USA.","DOI":"10.1117\/12.820049"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1818","DOI":"10.1016\/j.asr.2007.07.044","article-title":"Space-Borne Synthetic Aperture Radar Received Data Simulation Based on Airborne SAR Image Data","volume":"41","author":"Zhang","year":"2008","journal-title":"Adv. Space Res."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/8\/2215\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:20:56Z","timestamp":1760124056000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/8\/2215"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,21]]},"references-count":43,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2023,4]]}},"alternative-id":["rs15082215"],"URL":"https:\/\/doi.org\/10.3390\/rs15082215","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,21]]}}}