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Models and Methods for Synthetic Aperture Radar Remote Sensing: From Physics to Applications: Earth Observation

Editat de Pasquale Imperatore, Gerardo Di Martino, Alessio Di Simone
en Limba Engleză Paperback – apr 2026
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
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Specificații

ISBN-13: 9780443340536
ISBN-10: 0443340536
Pagini: 420
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
Seria Earth Observation


Cuprins

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