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Models and Methods for Synthetic Aperture Radar Remote Sensing
From Physics to Applications
- 1st Edition - April 1, 2026
- Editors: Pasquale Imperatore, Gerardo Di Martino, Alessio Di Simone
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 4 0 5 3 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 4 0 5 4 - 3
Models and Methods for Synthetic Aperture Radar Remote Sensing: From Physics to Applications expansively outlines the use of SAR remote sensing in Earth Observation, offering… Read more
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Request a sales quoteModels and Methods for Synthetic Aperture Radar Remote Sensing: From Physics to Applications expansively outlines the use of SAR remote sensing in Earth Observation, offering state-of-the-art methodologies, broad applications and use cases, and a multidisciplinary approach. It explores basic and advanced methods, accompanied by practical applications and case studies, fostering a deep understanding and facilitating real-world problem-solving in Earth Observation. Models and Methods for Synthetic Aperture Radar Remote Sensing provides invaluable insights into SAR technologies, enhancing research quality and relevance through reproduceable methodology for Earth Observation and remote sensing researchers and academics, or Earth and Environmental scientists employing remote sensing techniques.
• State-of-the-art methodologies ensure readers understand the most current and effective approaches for SAR Earth Observation
• A multidisciplinary approach promotes holistic understanding, collaboration, and innovative solutions in Earth Observation
• Practical applications and case studies demonstrate real-world relevance, aiding in application and problem-solving
• Detailed, tailored methodology provides detailed explanations facilitating replication, adaptation, reproducibility, and field advancement
• A multidisciplinary approach promotes holistic understanding, collaboration, and innovative solutions in Earth Observation
• Practical applications and case studies demonstrate real-world relevance, aiding in application and problem-solving
• Detailed, tailored methodology provides detailed explanations facilitating 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
Chapter 1. Spaceborne SAR
SECTION 2: SAR Imaging
Chapter 2. SAR system model
Chapter 3. Distortion in SAR imaging
Chapter 4. Bi-static and multi-static SAR processing
Chapter 5. Advanced SAR Modes and Techniques
SECTION 3: Electromagnetic Scattering Models
Chapter 6. Wave scattering basics
Chapter 7. Land and Ocean Scattering
Chapter 8. Urban areas
Chapter 9. Vegetation
Chapter 10. Cryosphere
SECTION 4: SAR Data Modelling and Processing
Chapter 11. Speckle and Filtering
Chapter 12. Interferometry
Chapter 13. Tomography
Chapter 14. Polarimetry
Chapter 15. Calibration and Validation
SECTION 5: Data Processing Methods
Chapter 16. Processing Paradigms
Chapter 17. High performance computing for large scale SAR processing
Chapter 18. Machine Learning based SAR processing
SECTION 6: Applications and Parameter Retrieval
Chapter 19. Information Extraction
Chapter 20. Applications for Surveillance and Disaster
Chapter 21. Environment monitoring
SECTION 7: Conclusion
Chapter 22. Potential applications /limitations
Chapter 1. Spaceborne SAR
SECTION 2: SAR Imaging
Chapter 2. SAR system model
Chapter 3. Distortion in SAR imaging
Chapter 4. Bi-static and multi-static SAR processing
Chapter 5. Advanced SAR Modes and Techniques
SECTION 3: Electromagnetic Scattering Models
Chapter 6. Wave scattering basics
Chapter 7. Land and Ocean Scattering
Chapter 8. Urban areas
Chapter 9. Vegetation
Chapter 10. Cryosphere
SECTION 4: SAR Data Modelling and Processing
Chapter 11. Speckle and Filtering
Chapter 12. Interferometry
Chapter 13. Tomography
Chapter 14. Polarimetry
Chapter 15. Calibration and Validation
SECTION 5: Data Processing Methods
Chapter 16. Processing Paradigms
Chapter 17. High performance computing for large scale SAR processing
Chapter 18. Machine Learning based SAR processing
SECTION 6: Applications and Parameter Retrieval
Chapter 19. Information Extraction
Chapter 20. Applications for Surveillance and Disaster
Chapter 21. Environment monitoring
SECTION 7: Conclusion
Chapter 22. Potential applications /limitations
- No. of pages: 420
- Language: English
- Edition: 1
- Published: April 1, 2026
- Imprint: Elsevier
- Paperback ISBN: 9780443340536
- eBook ISBN: 9780443340543
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.
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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.
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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.