Models and Methods for Synthetic Aperture Radar Remote Sensing
From Physics to Applications
Will be published approx. on 1. January 2027
Book
Paperback/Softback
420 pages
978-0-443-34053-6 (ISBN)
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.
More details
Series
Language
English
Place of publication
Philadelphia
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 229 mm
Width: 152 mm
ISBN-13
978-0-443-34053-6 (9780443340536)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.
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.
Editor
Research Scientist, National Research Council (CNR), Institute for Electromagnetic Sensing of the Environment (IREA), Naples, Italy
Associate Professor of Electromagnetic Fields, Department of Electrical Engineering and Information Technology, University of Naples Federico II, Italy
Assistant Professor, Department of Electrical Engineering and Information Technology, University of Naples Federico II, Italy
Content
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