Multi-Dimensional Imaging with Synthetic Aperture Radar
Theory and Applications

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Language: English

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Multi-Dimensional Imaging with Synthetic Aperture Radar: Theory and Applications provides a complete description of principles, models and data processing methods, giving an introduction to the theory that underlies recent applications such as topographic mapping and natural risk situational awareness ? seismic-tectonics, active volcano, landslides and subsidence monitoring - security, urban, wide area and infrastructure control. Imaging radars, specifically Synthetic Aperture Radar (SAR), generally mounted onboard satellites or airplanes, are able to provide systematic high-resolution imaging of the Earth's surface. Recent advances in the field has seen applications to natural risk monitoring and security and has driven the development of many operational systems.
1. Introduction and basic radar principles
2. Scene characterization
3. SAR data acquisition model and modes
4. High resolution 2D SAR focusing
5. SAR interferometry for topographic applications
6. Multitemporal SAR interferometry
7. Tomography (urban and forest, including polarimetry)
8. Matlab examples

Gianfranco Fornaro received the M.S. degree (summa cum laude) in electronic engineering from the University of Naples “Federico II” in 1992 and the Ph.D. in 1997. Since 1993, he has been with IREA-CNR, where he now holds the position of Research Director, working in the area of airborne and spaceborne Synthetic Aperture Radar (SAR) processing, including SAR Interferometry and SAR Tomography. In 2013, he received the “Full Professor” habilitation in Telecommunication, and in this area, he has been Adjunct Professor at several Universities in South Italy. Dr. Fornaro has been a visiting scientist at Politecnico of Milan and DLR in Oberpfaffenhofen (Germany), also during the 1996 SIR-C/X-SAR mission. He was a NATO lecturer in the Lecture Series SET 191 and SET 235, and since 2011, he has been also a lecturer at the International Summer School on Radar/SAR of the Fraunhofer Institute. He has been a convener, tutorial lecturer, chairman, and member of the program and organizing committee at the most important IEEE conferences. He has authored more than two hundred papers on SAR (peer-review journals and proceedings of international conferences). He received the Mountbatten Premium from the IEE Society in 1997, the 2011 IEEE Geoscience and Remote Sensing Letters Best Paper award, and the 2011 best Reviewers mention of the IEEE Transactions on Geoscience and Remote Sensing journal.


Antonio Pauciullo received the Dr. Eng. with honors in 1998 and the Ph.D. in information engineering in 2003, both from the University of Naples Federico II, Naples, Italy. Since 2001, he has been with the Institute for Electromagnetic Sensing of the Environment (IREA) of the Italian National Research Council (CNR), where he holds a position of Senior Researcher. From 2004 to 2012 he was an Adjunct Professor of digital signal processing at the University of Cassino (Italy). His current research interests are in the field of statistical signal processing with emphasis on synthetic a

  • Explains the modeling and data processing involved in interferometric and tomographic SAR
  • Shows the potential and limitations of using SAR technology in several applications
  • Presents the link between basic signal processing concepts and state-of-the-art capabilities in imaging radars
  • Explains the use of basic SAR processing tools and datasets