Singh, Jagmal: Spatial content understanding of very high resolution synthetic aperture radar images. 2014
Inhalt
- Zusammenfassung
- Abstract
- Acknowledgements
- Contents
- List of Figures
- 1. Introduction
- 2. SAR Basics
- 2.1 Principles of SAR imaging
- 2.2 SAR signal processing
- 2.3 Statistical analysis of SAR images
- 2.4 Summary
- 3. SAR Image Content
- 3.1 SAR images: from low-resolution to metric-resolution
- 3.2 Individual target understanding in SAR images
- 3.3 Spatial content understanding in SAR images
- 3.4 From pixel-based classification to patch-oriented image categorization
- 3.5 Summary
- 4. Information extraction in SARimages: parametric approaches
- 4.1 Probability and Bayesian inference
- 4.2 Bayesian inference preliminaries
- 4.3 Bayesian inference applied to SAR images
- 4.4 GRFs model parameters for information extraction in SARimages
- 4.5 Density parameters of generalized Gaussian distribution forwavelet coefficients of SAR images
- 5. Information extraction in SARimages: nonparametric approaches
- 5.1 Introduction to nonparametric approaches
- 5.2 Gray-level co-occurrence matrix
- 5.3 Non-linear feature descriptor based on the Fourier spectrum
- 5.4 The fractional Fourier transform
- 5.5 Gabor filter banks
- 5.6 Summary
- 6. Illustrations and case-study
- 6.1 Overview: discussion framework
- 6.2 Evaluation criterion
- 6.3 Pixel-based classification
- 6.4 Patch-oriented image categorization
- 6.5 Summary
- 7. Summary and conclusions
- Appendices
- Appendix A - TerraSAR-X
- Appendix BExperimental data base
- Appendix C - Method of logarithmic-cumulants
- Nomenclature
- References