"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 processing that they might not have explored previously, e.g. interferometric SAR for change detection and terrain elevation mapping, or modern non-parametric approaches to SAR autofocus. Senior undergraduates (primarily in electrical engineering) who have had courses in digital signal and image processing, but who have had no exposure to SAR will find the book useful as a reference."--BOOK JACKET.