Inverse synthetic aperture radar imaging with MATLAB algorithms /

"This book provides a full representation of Inverse Synthetic Aperture Radar (ISAR) imagery, which is a popular and important radar signal processing tool. The book covers all possible aspects of ISAR imaging. The book offers a fair amount of signal processing techniques and radar basics befor...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Özdemir, Caner
Συγγραφή απο Οργανισμό/Αρχή: Wiley InterScience (Online service)
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken, NJ : Wiley, [2012]
Σειρά:Wiley series in microwave and optical engineering.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη:"This book provides a full representation of Inverse Synthetic Aperture Radar (ISAR) imagery, which is a popular and important radar signal processing tool. The book covers all possible aspects of ISAR imaging. The book offers a fair amount of signal processing techniques and radar basics before introducing the inverse problem of ISAR and the forward problem of Synthetic Aperture Radar (SAR). Important concepts of SAR such as resolution, pulse compression and image formation are given together with associated MATLAB codes. After providing the fundamentals for ISAR imaging, the book gives the detailed imaging procedures for ISAR imaging with associated MATLAB functions and codes. To enhance the image quality in ISAR imaging, several imaging tricks and fine-tuning procedures such as zero-padding and windowing are also presented. Finally, various real applications of ISAR imagery, like imaging the antenna-platform scattering, are given in a separate chapter. For all these algorithms, MATLAB codes and figures are included. The final chapter considers advanced concepts and trends in ISAR imaging"--Provided by publisher.
Φυσική περιγραφή:1 online resource (xvii, 383 pages) : illustrations.
Βιβλιογραφία:Includes bibliographical references and index.
ISBN:9781118178072
1118178076
9781118178089
1118178084
9781118178058
111817805X
DOI:10.1002/9781118178072