Quartulli, Marco Francesco: Hierarchical Bayesian analysis of high complexity data for the inversion of metric InSAR in urban environments. 2005
Inhalt
- Abstract
- Zusammenfassung
- Acknowledgments
- Contents
- List of Figures
- List of Tables
- 1 Introduction
- 1.1 Advances in Bayesian inference for signal processing and analysis
- 1.2 On the information content of InSAR data at metric resolutions
- 1.3 Outline: the contribution of this thesis
- Part I Preliminaries
- 2 Synthetic Aperture Radar Interferometry at meter resolution
- 3 Bayesian modeling, estimation and decision theory for multidimensional signal analysis
- 3.1 Bayesian modeling and analysis
- 3.2 Gibbs random fields
- 3.3 Estimation and decision theory
- 3.4 Summary
- Part II Hierarchical Bayesian modelling
- 4 Space–variant model selection in model–based information extraction
- 4.1 Model based image denoising and information extraction
- 4.2 Image models
- 4.3 Locally–adaptive parameter estimation by evidence maximization
- 4.4 Model order selection
- 4.5 Summary
- 5 Information Fusion for scene reconstruction from Interferometric SAR Data in Urban Environments
- 5.1 The need for probabilistic modeling in scene reconstruction
- 5.2 Scene–to–data hierarchical models
- 5.3 Learning procedure
- 5.4 Urban scene reconstruction from InSAR data
- 5.5 Summary
- 6 Stochastic geometrical modeling for urban scene understanding from a single SAR intensity image with meter resolution
- 6.1 Scene understanding from SAR: objects and their relations
- 6.2 Marked spatial point processes as prior scene models
- 6.3 Scene posterior structure decomposition in Gibbs potential terms
- 6.4 The scene prior potential term
- 6.5 The data likelihood potential term
- 6.6 Inference in Bayesian scene understanding with non–analytic posteriors
- 6.7 Overview of estimation method
- 6.8 Marked Point Process based scene understanding example
- 6.9 Summary
- Part III Evaluation and validation of results
- 6.10 Content–based retrieval, information mining, scene understanding
- 6.11 Case studies with local model order selection in model based information extraction
- 6.12 Urban scene reconstruction from InSAR data
- 6.13 Marked point process model–based building reconstruction from metric airborne SAR
- 6.14 Summary
- Conclusions
- A The K-means clustering algorithm
- B Non–analytical optimization and MAP estimation by simulated annealing
- Bibliography