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Handbook of Radar Scattering Statistics for Terrain

Handbook of Radar Scattering Statistics for Terrain

Copyright: 2019
Pages: 395
ISBN: 9781630817022

The classic reference for radar and remote sensing engineers, Handbook of Radar for Scattering Statistics for Terrain, has been reissued with updated, practical software for modern data analysis applications. First published in 1989, this update features a new preface, along with three new appendices that explain how to use the new software and graphical user interface. Python- and MATLAB-based software has been utilized so remote sensing and radar engineers can utilize the wealth of statistical data that came with the original book and software. This update combines the book and software, previously sold separately, into a single new product.

 

The text first presents detailed examinations of the statistical behavior of speckle when superimposed on nonuniform terrain. The Handbook of Radar Scattering Statistics for Terrain then supports system design and signal processing applications with a complete database of calibrated backscattering coefficients. Compiled over 30 years, the statistical summaries of radar backscatter from terrain offers you over 400,000 data points compiled in tabular format. With this text, you'll own the most comprehensive database of radar terrain scattering statistics ever compiled. Derived from measurements made by both airborne and ground-based scatterometer systems, the database includes information from 114 references. The text provides over 60 tables of backscatter data for 9 different surface categories, all derived under strict quality criteria. Rigorous standards for calibration accuracy, measurement precision, and category identification make the database the most reliable source for scattering statistics ever available.

Theory of Radar Scattering Statistics; Distribution Functions of the Backscattering Coefficient; Appendices: Each appendix gives you the following: L-Band Data; S-Band Data; C-Band Data; X-Band Data; Ku-Band Data; Ka-Band Data; W-Band Data. Appendix A: Backscatter Data for Soil and Rock Surfaces. Appendix B: Backscattering Data for Trees. Appendix C: Backscattering Data for Grasses. Appendix D: Backscattering Data for Shrubs. Appendix E: Backscattering Data for Short Vegetation. Appendix F: Backscattering Data for Road Surfaces. Appendix G: Backscattering Data for Urban Areas. Appendix H: Backscattering Data for Dry Snow. Appendix I: Backscattering Data for Wet Snow. References. Index.
  • M. Craig Dobson
  • Fawwaz T. Ulaby Fawwaz Ulaby is the Leith Distinguished University Professor of Electrical Engineering and Computer Science and former Vice President for Research (1999-2006) at the University of Michigan. He earned a B.S. degree in physics from the American University of Beirut (1964) and a Ph.D. in electrical engineering from the University of Texas at Austin (1968).
  • José Luis Álvarez-Pérez

Reviews

Review by: David Long, Brigham Young University, Professor Electrical and Computer Engineering Dept., Director, BYU Center for Remote Sensing - June 1, 2019

The newly-added software greatly improves the utility of this valuable book. It is now much easier to pull information from the book's extensive statistical database to use in radar simulations and radar signal budget calculations. I have found the book to be very useful and highly recommend it. This reference book should be on the shelves of all radar designers and signal analysts.

Review by: Joseph Guerci, IEEE Fellow and recipient of the IEEE Warren D. White Award - June 1, 2019

Welcomed update! The time tested and authoritative classic by Ulaby and Dobson has been updated by José Luis Álvarez Pérez to include the latest accompanying software in both Python and MATLAB. The software allows for advanced modeling and simulation of some the most challenging radar clutter environments encountered by modern radar systems. This is a most welcomed addition to this classic reference!

Review by: Martie Goulding, Engineering Fellow, MDA Systems Ltd. - June 1, 2019

The Handbook of Radar Scattering Statistics for Terrain is an indispensable source of statistical radar data, now significantly enhanced with its addition of new Matlab and Python scripts. In addition to finding the requisite theory behind radar scattering from ground clutter, radar system engineers working on GMTI / SAR systems and signal processing design will have easy access to well-calibrated clutter cross section data spanning across L to W band for nine different types of ground cover, all in a single resource. The book has been a classic for three decades, and by now providing a method of accessing its data, will continue to be a key source of statistical data for terrain scattering for years to come.

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