Models and Methods for Synthetic Aperture Radar Remote Sensing

Nyhet

From Physics to Applications

Häftad, Engelska, 2026

Av Pasquale Imperatore, Gerardo Di Martino, Alessio Di Simone

2 219 kr

Kommande

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 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 reproducible 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 remote sensing and 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

Produktinformation

Utgivningsdatum2026-04-01
Mått152 x 229 x undefined mm
FormatHäftad
SpråkEngelska
SerieEarth Observation
Antal sidor420
FörlagElsevier Science
ISBN9780443340536

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Geografi inom Naturvetenskap och teknik

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.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.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.

SECTION 1: Introduction1. Spaceborne SARSECTION 2: SAR Imaging2. SAR system model3. Distortion in SAR imaging4. Bi-static and multi-static SAR processing5. Advanced SAR Modes and TechniquesSECTION 3: Electromagnetic Scattering Models6. Wave scattering basics7. Land and Ocean Scattering8. Urban areas9. Vegetation10. CryosphereSECTION 4: SAR Data Modelling and Processing11. Speckle and Filtering12. Interferometry13. Tomography14. Polarimetry15. Calibration and ValidationSECTION 5: Data Processing Methods16. Processing Paradigms17. High performance computing for large scale SAR processing18. Machine Learning based SAR processingSECTION 6: Applications and Parameter Retrieval19. Information Extraction20. Applications for Surveillance and Disaster21. Environment monitoringSECTION 7: Conclusion22. Potential applications /limitations