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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.
List of contents
SECTION 1: Introduction1. Spaceborne SAR
SECTION 2: SAR Imaging2. 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 Models6. Wave scattering basics
7. Land and Ocean Scattering
8. Urban areas
9. Vegetation
10. Cryosphere
SECTION 4: SAR Data Modelling and Processing11. Speckle and Filtering
12. Interferometry
13. Tomography
14. Polarimetry
15. Calibration and Validation
SECTION 5: Data Processing Methods16. Processing Paradigms
17. High performance computing for large scale SAR processing
18. Machine Learning based SAR processing
SECTION 6: Applications and Parameter Retrieval19. Information Extraction
20. Applications for Surveillance and Disaster
21. Environment monitoring
SECTION 7: Conclusion22. Potential applications /limitations
