Models and Methods for Synthetic Aperture Radar Remote Sensing
From Physics to Applications
- 1st Edition - April 1, 2026
- Latest edition
- Editors: Pasquale Imperatore, Gerardo Di Martino, Alessio Di Simone
- Language: English
Models and Methods for Synthetic Aperture Radar Remote Sensing: From Physics to Applications delivers a comprehensive overview on how Synthetic Aperture Radar (SAR) supports modern… Read more
Models and Methods for Synthetic Aperture Radar Remote Sensing: From Physics to Applications delivers a comprehensive overview on how Synthetic Aperture Radar (SAR) supports modern Earth Observation. The book guides readers through both foundational principles and advanced techniques, presenting state-of-the-art methodologies that showcase the evolution of SAR remote sensing. By seamlessly blending theoretical concepts with real-world case studies and practical examples, it empowers researchers, professionals, and students alike to gain a robust understanding of SAR technologies. The inclusion of reproducible methods encourages readers to develop their own applications, making this work an essential resource for anyone involved in remote sensing or Earth science.
- Provides state-of-the-art methodologies that ensure readers understand the most current and effective approaches for SAR Earth Observation
- Presents a multidisciplinary approach that promotes holistic understanding, collaboration, and innovative solutions in Earth Observation
- Includes practical applications and case studies that demonstrate real-world relevance, aiding in application and problem-solving
- Covers explanations that facilitate replication, adaptation, reproducibility, and field advancement
Academic researchers, industry professionals, and public institution members involved in the development and application of Earth Observation and remote sensing technologies, focusing on microwave remote sensing and broader Earth Observation fields
SECTION 1: Introduction
1. Spaceborne SAR
SECTION 2: SAR Imaging
2. SAR system model
3. Distortion in SAR imaging
4. Bi-static and multi-static SAR processing
5. Advanced SAR Modes and Techniques
SECTION 3: Electromagnetic Scattering Models
6. Wave scattering basics
7. Land and Ocean Scattering
8. Urban areas
9. Vegetation
10. Cryosphere
SECTION 4: SAR Data Modelling and Processing
11. Speckle and Filtering
12. Interferometry
13. Tomography
14. Polarimetry
15. Calibration and Validation
SECTION 5: Data Processing Methods
16. Processing Paradigms
17. High performance computing for large scale SAR processing
18. Machine Learning based SAR processing
SECTION 6: Applications and Parameter Retrieval
19. Information Extraction
20. Applications for Surveillance and Disaster
21. Environment monitoring
SECTION 7: Conclusion
22. Potential applications /limitations
1. Spaceborne SAR
SECTION 2: SAR Imaging
2. SAR system model
3. Distortion in SAR imaging
4. Bi-static and multi-static SAR processing
5. Advanced SAR Modes and Techniques
SECTION 3: Electromagnetic Scattering Models
6. Wave scattering basics
7. Land and Ocean Scattering
8. Urban areas
9. Vegetation
10. Cryosphere
SECTION 4: SAR Data Modelling and Processing
11. Speckle and Filtering
12. Interferometry
13. Tomography
14. Polarimetry
15. Calibration and Validation
SECTION 5: Data Processing Methods
16. Processing Paradigms
17. High performance computing for large scale SAR processing
18. Machine Learning based SAR processing
SECTION 6: Applications and Parameter Retrieval
19. Information Extraction
20. Applications for Surveillance and Disaster
21. Environment monitoring
SECTION 7: Conclusion
22. Potential applications /limitations
- Edition: 1
- Latest edition
- Published: April 1, 2026
- Language: English
PI
Pasquale Imperatore
Pasquale Imperatore is currently a Research scientist at National Research Council (CNR), Institute for Electromagnetic Sensing of the Environment (IREA), Naples, Italy. His research interests include microwave remote sensing and electromagnetic wave propagation and scattering, with particular emphasis on theoretical scattering models, waves in random layered media, SAR data modeling, processing and calibration, SAR interferometry, parallel algorithms and high performance computing. He is an IEEE Member, Associate Editor of Frontiers in Imaging, Topical Advisory Panel Member of Geomatics (MDPI), and member of IntechOpen Earth and Planetary Science Scientific Advisory Board. He acts as a reviewer for several peer-reviewed journals. Moreover, he has co-edited two books in the field of remote sensing and geospatial technology.
Affiliations and expertise
Research Scientist, National Research Council (CNR), Institute for Electromagnetic Sensing of the Environment (IREA), Naples, ItalyGD
Gerardo Di Martino
Gerardo Di Martino is currently Associate Professor of Electromagnetic Fields at the Department of Electrical Engineering and Information Technology of the University of Naples Federico II. His main research interests are in the field of remote sensing and electromagnetics: modelling of electromagnetic scattering from natural surfaces and urban areas, simulation and processing of synthetic aperture radar (SAR) signals, information extraction from SAR data, and electromagnetic propagation in urban areas. He is the Lead Associate Editor of the IEEE Geoscience and Remote Sensing Section within IEEE Access, Associate Editor of IEEE Journal of Selected Topics on Applied Earth Observations and Remote Sensing, and Editorial Board Member of Remote Sensing (MDPI) and Electronics (MDPI). He is a Senior Member of IEEE.
Affiliations and expertise
Associate Professor of Electromagnetic Fields, Department of Electrical Engineering and Information Technology, University of Naples Federico II, ItalyAD
Alessio Di Simone
Alessio Di Simone is an Assistant Professor with the Department of Electrical Engineering and Information Technology, University of Naples Federico II. Since 2022, he has been Assistant Professor in Electromagnetic Fields after working at the University as a
research Fellow from 2017 to 2021. His main research interests are in the field of microwave remote sensing and applied electromagnetics including: modeling of the electromagnetic scattering from natural surfaces, urban areas, and artificial targets; simulation and processing of synthetic aperture radar (SAR) and Global Navigation Satellite System Reflectometry (GNSS-R) data. Dr. Di Simone received the 2022 Best Young Researcher in Oceanic Engineering award from the IEEE Oceanic Engineering Italy Chapter.Affiliations and expertise
Assistant Professor, Department of Electrical Engineering and Information Technology, University of Naples Federico II, Italy