Spaceborne Synthetic Aperture Radar Remote Sensing (eBook, PDF)

Techniques and Applications
Redaktion: Kumar, Shashi; Agrawal, Shefali; Govil, Himanshu; Siqueira, Paul

• Format: PDF

Produktbeschreibung

This book provides basic and advanced concepts of the SAR, PolSAR, InSAR, PolInSAR, and all the necessary information on various applications and analysis of data of multiple sensors. It includes information on SAR remote sensing, data processing, and separate applications of SAR technology, compiled in one place.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 432
• Erscheinungstermin: 31. März 2023
• Englisch
• ISBN-13: 9781000803167
• Artikelnr.: 67344748

Inhaltsangabe

1. Synthetic Aperture Radar Remote Sensing
2. Speckle Reduction in SAR Images
3. Polarimetric Interferometric Decomposition
4. Implementation of Machine Learning Classification Models on
Multifrequency Band SAR Dataset
5. Implementation of Neural Network Based Classification Models on
Multifrequency Band SAR Dataset
6. Improved Data Fusion based Land use/Land cover Classification using
PolSAR and optical remotely sensed satellite data- A Machine Learning
approach
7. Polarimetric SAR Descriptors for Rice Monitoring
8. Synergistic fusion of spaceborne polarimetric SAR and hyperspectral data
for land cover classification
9. Marine Oil Slick Detection Using Synthetic Aperture Radar Remote Sensing
Techniques
10. Spaceborne C-band PolSAR backscatter and PolInSAR Coherence-based
Modelling for Forest Aboveground Biomass Estimation
11. Analysis of Polarimetric Techniques for characterization of Glacial
Feature
12. Spaceborne SAR Application to Study Ice Flow Variation of Potsdam
Glacier and Polar Record Glacier, East Antarctica
13. Multi-Temporal SAR Interferometry: Theory, Processing and Applications
14. SAR for Cultural Heritage Monitoring
15. Extraction and Evaluation of Lineaments from DEMs Generated from
Different Bands of Microwave Data and Optical Data:A Case Study for
16. Scatterer based deformation monitoring induced due to coal mining by
DInSAR techniques
17. An insight to the lunar surface: Characterization from the L and S-band
polarimetric data
18. Synthetic Aperture Radar (SAR) Data Calibration and Validation