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Modern airborne and spaceborne imaging radars, known as synthetic aperture radars (SARs), are capable of producing high-quality pictures of the earth's surface while avoiding some of the shortcomings of certain other forms of remote imaging systems. Primarily, radar overcomes the nighttime limitations of optical cameras, and the cloud- cover limitations of both optical and infrared imagers. In addition, because imaging radars use a form of coherent illumination, they can be used in certain special modes such as interferometry, to produce some unique derivative image products that incoherent systems cannot. One such product is a highly accurate digital terrain elevation map (DTEM). The most recent (ca. 1980) version of imaging radar, known as spotlight-mode SAR, can produce imagery with spatial resolution that begins to approach that of remote optical imagers. For all of these reasons, synthetic aperture radar imaging is rapidly becoming a key technology in the world of modern remote sensing. Much of the basic `workings' of synthetic aperture radars is rooted in the concepts of signal processing. Starting with that premise, this book explores in depth the fundamental principles upon which the spotlight mode of SAR imaging is constructed, using almost exclusively the language, concepts, and major building blocks of signal processing. 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 could find the book useful in a one-semester course as a reference.
"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.
"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.".
?The book gives an excellent theoretical and practical background of SAR in general and specifically of spotlight SAR. The rich experience of the authors in spotlight SAR processing is reflected by a very detailed summary of the associated theory as well as a lot of SAR image examples. These images illustrate the techniques described in the book and provide a valuable connection to practice. This book can be highly recommended to all scientists and engineers involved in SAR system design and SAR data evaluation.?---International Journal of Electronics and Communications
Written from a signal processing point of view, this authoritative volume on digital processing of synthetic aperture radar data is geared toward professionals and students with a general electrical engineering background.
This book describes the application of polarimetric synthetic aperture radar to earth remote sensing based on research at the NASA Jet Propulsion Laboratory (JPL). This book synthesizes all current research to provide practical information for both the newcomer and the expert in radar polarimetry. The text offers a concise description of the mathematical fundamentals illustrated with many examples using SAR data, with a main focus on remote sensing of the earth. The book begins with basics of synthetic aperture radar to provide the basis for understanding how polarimetric SAR images are formed and gives an introduction to the fundamentals of radar polarimetry. It goes on to discuss more advanced polarimetric concepts that allow one to infer more information about the terrain being imaged. In order to analyze data quantitatively, the signals must be calibrated carefully, which the book addresses in a chapter summarizing the basic calibration algorithms. The book concludes with examples of applying polarimetric analysis to scattering from rough surfaces, to infer soil moisture from radar signals.
This book provides a full representation of Inverse Synthetic Aperture Radar (ISAR) imagery, which is a popular and important radar signal processing tool. The book covers all possible aspects of ISAR imaging. The book offers a fair amount of signal processing techniques and radar basics before introducing the inverse problem of ISAR and the forward problem of Synthetic Aperture Radar (SAR). Important concepts of SAR such as resolution, pulse compression and image formation are given together with associated MATLAB codes. After providing the fundamentals for ISAR imaging, the book gives the detailed imaging procedures for ISAR imaging with associated MATLAB functions and codes. To enhance the image quality in ISAR imaging, several imaging tricks and fine-tuning procedures such as zero-padding and windowing are also presented. Finally, various real applications of ISAR imagery, like imaging the antenna-platform scattering, are given in a separate chapter. For all these algorithms, MATLAB codes and figures are included. The final chapter considers advanced concepts and trends in ISAR imaging.

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