• Digital Processing Of Synthetic Aperture Radar Data: Algorithms And Implementation (Artech House Remote Sensing Library)
• Fundamentals of Radar Signal Processing
• Spotlight Synthetic Aperture Radar: Signal Processing Algorithms (Artech House Remote Sensing Library)
• Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach
• Synthetic Aperture Radar: Systems and Signal Processing (Wiley Series in Remote Sensing and Image Processing)

Excellent comprehensive text
Review written by: Crusoe From OH, USA
To me, this book's greatest strength is instant applicability of theories and recipes presented in it. Virtually all topics in SAR are covered with great quality. There is no hard tie to any particular type of radar signals, which makes it very versatile.
Certainly one of the best engineering books I ever bought.

One of the best texts on SAR signal processing
Review written by: Jehanzeb Burki From Georgia USA
SAR imaging owes a lot to inverse scattering theory, coherence theory, Fourier optics and holography. Luckily, Soumekh comes from an optics background and therefore, is very comfortable with all the optics stuff. He has done an excellent job in presenting different modalities of SAR imaging like stripmap and spotlight and implementing the algorithms in matlab. There is a lot of depth in his book and every time I read it I understand something that I could not understand when I read it last time. I have become a fan of Soumekh. I also attended one of his tutorials based on this book in the SPIE symposium in Orlando Florida.

nice applications with heavy computations
Review written by: W Boudville From Terra, Sol 3
Wasn't there once a time, in the depths of the Cold War, when Synthetic Aperture Radar was highly classified? It is still jarring to me to see a book like this, telling all and sundry about the many applications to which it can be directed.

Soumekh takes us through the basic theory. Intensive numerical analysis. Which is why Matlab has been drafted by him to aid us. A nice aid to following the concepts and seeing examples that are non-trivial. The hardest sections of each chapter are on the reconstruction of the data. That is, in the finding of possible sources that gave rise to the observed signals.

You would do well before reading this book to be fully conversant about [Fast] Fourier Transforms and scattering of radiation from objects. Put it this way, if Point Spread Function doesn't mean anything to you, then the book might be of limited use in your situation.

He discusses important geometries, like stripmap and the circular SAR. But just as importantly, there is good mention of applications like aerial reconnaissance or surveying.