Models and Methods for Synthetic Aperture Radar Remote Sensing: From Physics to Applications: Earth Observation
Editat de Pasquale Imperatore, Gerardo Di Martino, Alessio Di Simoneen Limba Engleză Paperback – apr 2027
- 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
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
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