References & Further Reading

References

  1. I. G. Cumming and F. H. Wong, Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation, Artech House, 2005

    The definitive reference on SAR signal processing algorithms. Our range-Doppler algorithm derivation (Section s02), RCMC treatment, and resolution analysis follow Cumming and Wong.

  2. W. G. Carrara, R. S. Goodman, and R. M. Majewski, Spotlight Synthetic Aperture Radar: Signal Processing Algorithms, Artech House, 1995

    Comprehensive treatment of spotlight SAR, including polar format algorithm and operating mode comparisons (Section s01).

  3. C. V. Jakowatz Jr., D. E. Wahl, P. H. Eichel, D. C. Ghiglia, and P. A. Thompson, Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach, Springer, 1996

    Excellent treatment of SAR autofocus, including PGA and minimum-entropy methods. Section s02 draws heavily on this text's autofocus framework.

  4. D. E. Wahl, P. H. Eichel, D. C. Ghiglia, and C. V. Jakowatz Jr., Phase Gradient Autofocus — A Robust Tool for High Resolution SAR Phase Correction, 1994

    The original PGA paper. Our PGA algorithm description in Section s02 follows this formulation.

  5. V. C. Chen and M. Martorella, Inverse Synthetic Aperture Radar Imaging: Principles, Algorithms, and Applications, SciTech Publishing, 2014

    Comprehensive ISAR reference covering motion compensation, autofocus, and time-frequency ISAR. Section s03 follows the turntable model and TMC procedure from this text.

  6. M. Cetin, I. Stojanovic, O. Onhon, K. Varshney, S. Samadi, W. C. Karl, and A. S. Willsky, Sparsity-Driven Synthetic Aperture Radar Imaging, 2014

    Survey of sparsity-based SAR reconstruction, connecting SAR to compressed sensing. Section s05 on CS-SAR draws on this framework.

  7. A. Reigber and A. Moreira, First Demonstration of Airborne SAR Tomography Using Multibaseline L-Band Data, 2000

    First experimental demonstration of SAR tomography. Section s04 on TomoSAR builds on this work.

  8. X. X. Zhu and R. Bamler, Very High Resolution Spaceborne SAR Tomography in Urban Environment, 2010

    Demonstrates sparse TomoSAR for urban 3D mapping using TerraSAR-X data. Section s04 references this work for the elevation resolution analysis and sparse recovery.

  9. R. K. Raney, H. Runge, R. Bamler, I. G. Cumming, and F. H. Wong, Precision SAR Processing Using Chirp Scaling, 1994

    Introduces the chirp scaling algorithm for SAR processing. Section s02 references this as an alternative to the RDA.

  10. S. Kelly, M. Yaghoobi, and M. Davies, Sparsity-Based Autofocus for Undersampled Synthetic Aperture Radar, 2014

    Joint autofocus and sparse reconstruction for SAR. Section s05 references this approach for the joint optimization formulation.

  11. G. Caire, On the Illumination and Sensing Model for RF Imaging, TU Berlin Technical Report, 2026

    Unifies SAR, ISAR, and multi-static RF imaging under a single forward model. Referenced in the CommIT contribution block of Section s05.

Further Reading

For readers who want to go deeper into specific topics from this chapter.

  • $\omega$-$k$ and chirp scaling algorithms

    R. K. Raney et al., *Precision SAR Processing Using Chirp Scaling*, IEEE Trans. GRS, 1994

    Alternative SAR focusing algorithms that handle range-dependent processing more efficiently than the RDA.

  • Spotlight SAR and polar format algorithm

    D. C. Munson Jr., J. D. O'Brien, and W. K. Jenkins, *A Tomographic Formulation of Spotlight-Mode SAR*, Proc. IEEE, 1983

    Connects spotlight SAR to X-ray computed tomography via the projection-slice theorem.

  • Deep learning for SAR autofocus

    L. Zhang, M. Xing, C. Qiu, et al., *Deep Learning Methods for SAR Image Autofocus*, IEEE GRSL, 2022

    Modern approaches replacing iterative autofocus with learned phase estimators, bridging SAR to the deep learning methods of Part V.

  • MIMO-SAR systems

    G. Krieger, *MIMO-SAR: Opportunities and Pitfalls*, IEEE Trans. GRS, 2014

    Extends single-channel SAR to MIMO configurations, combining virtual aperture concepts of <a href="/en/book/rfi/chapter/ch11" class="ferkans-ref" title="Chapter 11: MIMO Radar and Virtual Aperture" data-ref-type="chapter">Chapter 11</a> with the SAR imaging principles of this chapter.

  • Persistent scatterer interferometry

    A. Ferretti, C. Prati, and F. Rocca, *Permanent Scatterers in SAR Interferometry*, IEEE Trans. GRS, 2001

    The foundational technique for millimeter-precision deformation monitoring, closely related to the differential TomoSAR of Section s04.

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