Algorithms for Synthetic Aperture Radar Imagery II
Author : Dominick A. Giglio
Publisher :
Page : 464 pages
File Size : 33,96 MB
Release : 1995
Category : Computers
ISBN :
Author : Dominick A. Giglio
Publisher :
Page : 464 pages
File Size : 33,96 MB
Release : 1995
Category : Computers
ISBN :
Author : Dominick A. Giglio
Publisher :
Page : 436 pages
File Size : 16,5 MB
Release : 1994
Category : Computers
ISBN :
Author : Caner Ozdemir
Publisher : John Wiley & Sons
Page : 672 pages
File Size : 46,74 MB
Release : 2021-03-22
Category : Technology & Engineering
ISBN : 111952136X
Build your knowledge of SAR/ISAR imaging with this comprehensive and insightful resource The newly revised Second Edition of Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms covers in greater detail the fundamental and advanced topics necessary for a complete understanding of inverse synthetic aperture radar (ISAR) imaging and its concepts. Distinguished author and academician, Caner Özdemir, describes the practical aspects of ISAR imaging and presents illustrative examples of the radar signal processing algorithms used for ISAR imaging. The topics in each chapter are supplemented with MATLAB codes to assist readers in better understanding each of the principles discussed within the book. This new edition incudes discussions of the most up-to-date topics to arise in the field of ISAR imaging and ISAR hardware design. The book provides a comprehensive analysis of advanced techniques like Fourier-based radar imaging algorithms, and motion compensation techniques along with radar fundamentals for readers new to the subject. The author covers a wide variety of topics, including: Radar fundamentals, including concepts like radar cross section, maximum detectable range, frequency modulated continuous wave, and doppler frequency and pulsed radar The theoretical and practical aspects of signal processing algorithms used in ISAR imaging The numeric implementation of all necessary algorithms in MATLAB ISAR hardware, emerging topics on SAR/ISAR focusing algorithms such as bistatic ISAR imaging, polarimetric ISAR imaging, and near-field ISAR imaging, Applications of SAR/ISAR imaging techniques to other radar imaging problems such as thru-the-wall radar imaging and ground-penetrating radar imaging Perfect for graduate students in the fields of electrical and electronics engineering, electromagnetism, imaging radar, and physics, Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms also belongs on the bookshelves of practicing researchers in the related areas looking for a useful resource to assist them in their day-to-day professional work.
Author : Victor C. Chen
Publisher : IET
Page : 304 pages
File Size : 15,50 MB
Release : 2014-09
Category : Computers
ISBN : 1613530137
This book is based on the latest research on ISAR imaging of moving targets and non-cooperative target recognition (NCTR). With a focus on the advances and applications, it provides readers with a working knowledge of various algorithms of ISAR imaging of targets and implementation with MATLAB.
Author : Edmund G. Zelnio
Publisher :
Page : 464 pages
File Size : 29,29 MB
Release : 1996
Category : Computers
ISBN :
Author :
Publisher :
Page : pages
File Size : 35,39 MB
Release : 2006
Category :
ISBN :
Author : Edmund G. Zelnio
Publisher : SPIE-International Society for Optical Engineering
Page : 422 pages
File Size : 41,86 MB
Release : 2003
Category : Computers
ISBN :
Author : Dominick A. Giglio
Publisher :
Page : 452 pages
File Size : 42,29 MB
Release : 1995
Category : Computer algorithms
ISBN :
Author : Edmund G. Zelnio
Publisher : Society of Photo Optical
Page : 330 pages
File Size : 49,22 MB
Release : 2002
Category : Technology & Engineering
ISBN : 9780819444776
Author : Edmund G. Zelnio
Publisher : SPIE-International Society for Optical Engineering
Page : 702 pages
File Size : 30,84 MB
Release : 1998
Category : Mathematics
ISBN :
A presentation of algorithms for synthetic aperture radar imagery. It studies: image formation; image registration and fusion; image quality assessment; and feature extraction.