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Elsevier

Models and Methods for Synthetic Aperture Radar Remote Sensing

From Physics to Applications

  • 1st Edition - January 1, 2027
  • 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 expansively outlines the use of SAR remote sensing in Earth Observation, offeri… Read more

Description

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.

Key features

  • 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

Readership

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

Table of contents

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

Product details

  • Edition: 1
  • Latest edition
  • Published: January 1, 2027
  • Language: English

About the editors

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, Italy

GD

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, Italy

AD

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