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  • 1

    VOP post-processing

    Post-processing algorithms for SAR compression

    ***Please note that a much improved Version can be found on Github:*** https://github.com/sOrzada/VOP_Compression Here we introduce to algorithms for post-processing of VOP sets. Algorithm 1 reduces the Overestimation for a given set of VOPs. Especially useful to reduce the overestimation in VOP sets calculated with the compression algorithms by Lee et al. and Orzada et al. Algorithm 2 tests a given set of VOPs for redundancy. It can be used to reduce the number of VOPs in a...
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  • 2

    Enhanced SAR Compression

    VOP Algorithm with improved speed and compression

    ***Please note that a much improved Version can be found on Github:*** https://github.com/sOrzada/VOP_Compression This work is described in: Orzada S, Fielder TM, Quick HH, Ladd ME, "A local SAR compression algorithm with improved compression, speed and flexibility", https://doi.org/10.1002/mrm.28739. This new algorithm is an iterative expansion of the exisisting local SAR compression algorithm for MRI proposed by Lee et al. ( https://doi.org/10.1002/mrm.23140) The number of VOPs is approximately halved with the new algorithm, while at the same time the compression time is reduced with speed-up factors of up to 2.5.
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  • 3
    SAR Synthetic Aperture Radar

    SAR Synthetic Aperture Radar

    Collection of MATLAB codes, simulations, and summaries

    ...The readme states that these were research/learning codes, with experiments and reports, and no further maintenance is expected. InSAR (interferometric SAR) simulation and processing. PolSAR (polarimetric SAR) calibration algorithms.
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  • 4

    Relative Overestimation VOP

    VOP compression for MRI with overestimation control

    **** This work is outdated! For better compression and speed use these: ***** https://github.com/sOrzada/VOP_Compression Virtual Observation Points SAR compression. Contains multiple Algorithms: Compression according to Eichfelder et al. and Lee et al. The Lee algorithm is enhanced by including overestimation control to reduce maximum relative overestimation. All algorithms are implemented in Matlab and were optimized for enhanced speed. Needs Matlab R2016b at least. Prefer R2018b or newer. ***** This work is outdated and is here for reference purpose, only. ***** If you are looking for improved SAR-compression algorithms, visit: https://sourceforge.net/projects/enhanced-sar-compression/
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