From the Publisher:
Spotlight-mode Synthetic Aperture Radar: A Signal Processing Approach describes an important mode of synthetic aperture radar (SAR) imaging, known as spotlight-mode SAR. By treating the subject via the principles of signal processing, this book allows those individuals who are not schooled in the specialized (and sometimes confusing) language of radar imaging to gain accessibility to the critical ideas of SAR relatively quickly. An understanding of basic signal processing concepts (Fourier transforms, convolution, filtering, etc.) is the only required background. The first two chapters of the book develop a rigorous theoretical framework for spotlight-mode SAR, using a paradigm based on three-dimensional tomographic concepts. Following that, a chapter is devoted to the various signal processing steps that are required for robust spotlight-mode image formation via the polar-reformatting algorithm. Numerous examples, derived from simulated as well as real spotlight-mode imagery, are employed to clearly demonstrate the important concepts. Chapter 4 then discusses the effects of phase errors on spotlight-mode SAR imagery, and describes various algorithms for automatic phase error correction, also known as autofocus. The widely used technique of Phase Gradient Autofocus (PGA) is analyzed in depth and a variety of results from actual SAR imagery are shown. The final chapter discusses the subject of interferometry from spotlight-mode SAR imagery. This important topic is currently the subject of extensive research and development efforts across the international SAR community. Spotlight-mode Synthetic Aperture Radar: A Signal Processing Approach is intended for a variety of audiences. Engineers and scientists working in the field of remote sensing, but who do not have experience with SAR imaging, will find an easy entrance into what can seem at times a very complicated subject. Experienced radar engineers will find that the book describes several modern areas of SAR pr
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- Kitahara D and Yamada I (2015). Algebraic phase unwrapping along the real axis, Multidimensional Systems and Signal Processing, 26:1, (3-45), Online publication date: 1-Jan-2015.
- Park J, Tang P, Smelyanskiy M, Kim D and Benson T (2013). Efficient backprojection-based synthetic aperture radar computation with many-core processors, Scientific Programming, 21:3-4, (165-179), Online publication date: 1-Jul-2013.
- Vu D, Xue M, Tan X and Li J (2013). A Bayesian approach to SAR imaging, Digital Signal Processing, 23:3, (852-858), Online publication date: 1-May-2013.
- Park J, Tang P, Smelyanskiy M, Kim D and Benson T Efficient backprojection-based synthetic aperture radar computation with many-core processors Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, (1-11)
- Vu V, Sjögren T, Pettersson M and Hellsten H (2010). An impulse response function for evaluation of UWB SAR imaging, IEEE Transactions on Signal Processing, 58:7, (3927-3932), Online publication date: 1-Jul-2010.
- Bioucas-Dias J and Figueiredo M (2010). Multiplicative noise removal using variable splitting and constrained optimization, IEEE Transactions on Image Processing, 19:7, (1720-1730), Online publication date: 1-Jul-2010.
- Özsoy S and Ergin A (2009). Pencil back-projection method for SAR imaging, IEEE Transactions on Image Processing, 18:3, (573-581), Online publication date: 1-Mar-2009.
- Bioucas-Dias J and Valadão G Phase unwrapping via graph cuts Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I, (360-367)
- Williams M and Preiss M (2005). Physics-based predictions for coherent change detection using X-band synthetic aperture radar, EURASIP Journal on Advances in Signal Processing, 2005, (3243-3258), Online publication date: 1-Jan-2005.
- Colonna F and Easley G (2005). Generalized Discrete Radon Transforms and Their Use in the Ridgelet Transform, Journal of Mathematical Imaging and Vision, 23:2, (145-165), Online publication date: 1-Sep-2005.
- Achan K, Frey B and Koetter R A factorized variational technique for phase unwrapping in Markov random fields Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence, (1-6)
- Kuttikkad S and Chellappa R (2000). Statistical modeling and analysisof high-resolution Synthetic Aperture Radar images, Statistics and Computing, 10:2, (133-145), Online publication date: 1-Apr-2000.
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