A satellite radar can resolve meter-scale detail on the ground from hundreds of kilometers away, through cloud cover, in total darkness, using a physical antenna far too small to achieve that resolution on its own. The technique that makes this possible is elegant in concept and demanding in execution, and most engineers meet only a rushed version of it, tucked into a few lectures of a broader radar or remote-sensing course.
Radar-imaging technology now underpins disaster response, agricultural and forestry monitoring, infrastructure surveillance, and Earth-system science, yet the engineering knowledge behind it is usually taught in fragments. Signals-and-systems courses stop short of radar geometry; remote-sensing courses cover applications without deriving the algorithms that turn raw echoes into a focused image. Engineers are left able to recite that combining many echoes "sharpens" resolution, without being able to derive why, extend the result to a new geometry, or explain why one image-formation algorithm is chosen over another.
This engineering reference closes that gap with a derivation-first treatment carrying the reader from the physics of an electromagnetic echo through image formation, motion compensation, polarimetric and interferometric measurement, and system hardware design. Every equation is derived from stated assumptions or attributed to a specific source, worked examples track units through every step, and practice problems come with fully derived, boxed answers, drawn wherever possible from publicly available parameters of real operational radar-imaging missions.
Working through this book, readers learn to derive real-aperture and synthetic-aperture resolution from antenna geometry and explain why one depends on range while the other does not; build the two-dimensional raw-signal model and compare the major image-formation algorithm families on accuracy, cost, and applicability; quantify how platform motion error and coherent speckle noise limit image quality, and apply autofocus and adaptive filtering to address each; extract scattering-mechanism information from polarimetric data and topographic height or surface displacement from interferometric phase; and translate a mission-level requirement into concrete antenna, transmitter, and receiver hardware specifications.
Key topics include electromagnetic and antenna fundamentals; the radar range equation and radiometric sensitivity; platform geometry and imaging modes; waveform design and pulse compression; the major image-formation algorithms compared side by side; motion compensation and autofocus; resolution, ambiguity, and speckle statistics; polarimetric scattering-mechanism decomposition; interferometric and differential interferometric mapping; requirements-to-hardware system design; multi-channel and compressive-sensing architectures; and applications across agriculture, disaster response, maritime monitoring, and defense, with emerging trends in satellite constellations and machine-learning-assisted processing.
This book is written for advanced undergraduate and graduate students in electrical engineering, aerospace engineering, and geomatics encountering radar imaging for the first time in a dedicated course, and for practicing systems engineers, signal-processing engineers, and remote-sensing analysts who need a single, derivation-first reference for a specific design trade-off or processing question on the job.
Begin building a rigorous, working command of how radar-imaging systems sense, process, and deliver imagery and measurements, derivation by derivation, from the physics of an electromagnetic echo to a complete system design.
