Academic literature on the topic 'Fast-factorized backprojection'

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Journal articles on the topic "Fast-factorized backprojection"

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Marston, Timothy, and Daniel Plotnick. "Wavenumber domain acceleration for stripmap fast factorized backprojection beamforming." Journal of the Acoustical Society of America 144, no. 3 (September 2018): 1806. http://dx.doi.org/10.1121/1.5067971.

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Zhang, Man, Haolin Li, and Guanyong Wang. "High-Precision Spotlight SAR Imaging with Joint Modified Fast Factorized Backprojection and Autofocus." International Journal of Antennas and Propagation 2020 (August 25, 2020): 1–13. http://dx.doi.org/10.1155/2020/2495050.

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Fast factorized backprojection (FFBP) takes advantage of high accuracy of time-domain algorithms while also possessing high efficiency comparable with conventional frequency domain algorithms. When phase errors need to be compensated for high-resolution synthetic aperture radar (SAR) imaging, however, neither polar formatted subimages within FFBP flow nor the final Cartesian image formed by FFBP is suitable for phase gradient autofocus (PGA). This is because these kinds of images are not capable of providing PGA with a clear Fourier transform relationship (FTR) between image domain and range-compressed phase history domain. In this paper, we make some essential modifications to the original FFBP and present a scheme to incorporate overlapped-subaperture frame for an accurate PGA processing. The raw data collected by an airborne high-resolution spotlight SAR are used to demonstrate the performance of this algorithm.
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An, Hongyang, Junjie Wu, Zhiwei He, Zhongyu Li, and Jianyu Yang. "Geosynchronous Spaceborne–Airborne Multichannel Bistatic SAR Imaging Using Weighted Fast Factorized Backprojection Method." IEEE Geoscience and Remote Sensing Letters 16, no. 10 (October 2019): 1590–94. http://dx.doi.org/10.1109/lgrs.2019.2902036.

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Xie, Hongtu, Shaoying Shi, Daoxiang An, Guangxue Wang, Guoqian Wang, Hui Xiao, Xiaotao Huang, et al. "Fast Factorized Backprojection Algorithm for One-Stationary Bistatic Spotlight Circular SAR Image Formation." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10, no. 4 (April 2017): 1494–510. http://dx.doi.org/10.1109/jstars.2016.2639580.

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Pu, Wei, Junjie Wu, Yulin Huang, Jianyu Yang, and Haiguang Yang. "Fast Factorized Backprojection Imaging Algorithm Integrated With Motion Trajectory Estimation for Bistatic Forward-Looking SAR." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12, no. 10 (October 2019): 3949–65. http://dx.doi.org/10.1109/jstars.2019.2945118.

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Feng, Dong, Dao Xiang An, and Xiao-Tao Huang. "IMAGE FORMATION USING FAST FACTORIZED BACKPROJECTION BASED ON SUB-APERTURE AND SUB-IMAGE FOR GENERAL BISTATIC FORWARD-LOOKING SAR WITH ARBITRARY MOTION." Progress In Electromagnetics Research B 74 (2017): 141–53. http://dx.doi.org/10.2528/pierb17011702.

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Dissertations / Theses on the topic "Fast-factorized backprojection"

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Stringham, Craig Lee. "Developments in LFM-CW SAR for UAV Operation." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/5587.

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Opportunities to use synthetic aperture radar (SAR) in scientific studies and military operations are expanding with the development of small SAR systems that can be operated on small unmanned air vehicles (UAV)s. While the nimble nature of small UAVs make them an attractive platform for many reasons, small UAVs are also more prone to deviate from a linear course due autopilot errors and external forces such as turbulence and wind. Thus, motion compensation and improved processing algorithms are required to properly focus the SAR images. The work of this dissertation overcomes some of the challenges and addresses some of the opportunities of operating SAR on small UAVs. Several contributions to SAR backprojection processing for UAV SARs are developed including: 1. The derivation of a novel SAR backprojection algorithm that accounts for motion during the pulse that is appropriate for narrow or ultra-wide-band SAR. 2. A compensation method for SAR backprojection to enable radiometrically accurate image processing. 3. The design and implementation of a real-time backprojection processor on a commercially available GPU that takes advantage of the GPU texture cache. 4. A new autofocus method that improves the image focus by estimating motion measurement errors in three dimensions, correcting for both amplitude and phase errors caused by inaccurate motion parameters. 5. A generalization of factorized backprojection, which we call the Dually Factorized Backprojection method, that factorizes the correlation integral in both slow-time and fast-time in order to efficiently account for general motion during the transmit of an LFM-CW pulse. Much of this work was conducted in support of the Characterization of Arctic Sea Ice Experiment (CASIE), and the appendices provide substantial contributions for this project as well, including: 1. My work in designing and implementing the digital receiver and controller board for the microASAR which was used for CASIE. 2. A description of how the GPU backprojection was used to improved the CASIE imagery. 3. A description of a sample SAR data set from CASIE provided to the public to promote further SAR research.
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Book chapters on the topic "Fast-factorized backprojection"

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Sommer, Aron. "3 Optimization of Fast Factorized Backprojection." In Backprojection Autofocus of Large Ships with Arbitrary Motion for Synthetic Aperture Radar, 40–74. VDI Verlag, 2020. http://dx.doi.org/10.51202/9783186867100-40.

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Conference papers on the topic "Fast-factorized backprojection"

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Vu, Viet T., Thomas K. Sjogren, and Mats I. Pettersson. "Fast factorized backprojection algorithm for UWB SAR image reconstruction." In IGARSS 2011 - 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2011. http://dx.doi.org/10.1109/igarss.2011.6050166.

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Xiaolong, Jiang, Wang Jian, Song Qian, and Zhou Zhimin. "SAR imaging using Fast Factorized Backprojection based on Optimal Regional Partition." In 2014 IEEE Radar Conference (RadarCon). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.6875589.

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Wielage, M., F. Cholewa, C. Riggers, P. Pirsch, and H. Blume. "Parallelization strategies for fast factorized backprojection SAR on embedded multi-core architectures." In 2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS). IEEE, 2017. http://dx.doi.org/10.1109/comcas.2017.8244770.

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Wielage, M., F. Cholewa, C. Fahnemann, P. Pirsch, and H. Blume. "High Performance and Low Power Architectures: GPU vs. FPGA for Fast Factorized Backprojection." In 2017 Fifth International Symposium on Computing and Networking (CANDAR). IEEE, 2017. http://dx.doi.org/10.1109/candar.2017.101.

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Vu, Viet T., Thomas K. Sjogren, and Mats I. Pettersson. "A Comparison between Fast Factorized Backprojection and Frequency-Domain Algorithms in UWB Lowfrequency SAR." In IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2008. http://dx.doi.org/10.1109/igarss.2008.4779965.

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Callow, H., R. Hansen, and T. Saebo. "Effect of Approximations in Fast Factorized Backprojection in Synthetic Aperture Imaging of Spot Regions." In OCEANS 2006. IEEE, 2006. http://dx.doi.org/10.1109/oceans.2006.307042.

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Hellsten, Hans, Patrik Dammert, and Anders Ahlander. "Autofocus in fast factorized backprojection for processing of SAR images when geometry parameters are unknown." In 2010 IEEE International Radar Conference. IEEE, 2010. http://dx.doi.org/10.1109/radar.2010.5494549.

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Cholewa, F., M. Wielage, P. Pirsch, and H. Blume. "Synthetic aperture radar with fast factorized backprojection: a scalable, platform independent architecture for exhaustive FPGA resource utilization." In International Conference on Radar Systems (Radar 2017). Institution of Engineering and Technology, 2017. http://dx.doi.org/10.1049/cp.2017.0494.

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Sjogren, T. K., V. T. Vu, and M. I. Pettersson. "A comparative study of the polar version with the subimage version of Fast Factorized Backprojection in UWB SAR." In 2008 International Radar Symposium (IRS). IEEE, 2008. http://dx.doi.org/10.1109/irs.2008.4585740.

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