Customer Reviews

Synthetic Aperture Radar Signal Processing with MATLAB Algorithms

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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.

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.

Could use many more practical examples. All of the reconstruction code included for this book generates incomprehensible images. I wish there was a book that included reconstruction code of actual SAR data with real SAR images so that you can actually tell if you reconstruction algorithm is working and have the ability to evaluate different algorithms on the same data set.

there are many examples for matlab in this book, however it has little bit a lack of considerartion for beginer. I recommand this book to persons who need to practice the simulation or generation of SAR Image.

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.