Cui, Shiyong: Spatial and temporal SAR image information mining. 2014
Inhalt
- Zusammenfassung
- Abstract
- Contents
- List of Figures
- 1. Introduction
- 2. Information Content of High Resolution SAR Image Time Series
- 3. Multi-Temporal and ITS Analysis: State-of-the-Art
- 3.1 SAR Statistical Models
- 3.2 SAR Change Detection
- 3.3 SAR Image Feature Extraction
- 3.4 Satellite Image Time Series Analysis
- 3.5 Image Information Mining
- 3.6 Dimension Reduction for Visualization of Multi-Temporal SAR Images
- 3.7 Conclusion and Proposed Concepts
- 4. Information Similarity Metrics and Estimation for Multi-Temporal SAR Image Analysis
- 4.1 SAR Statistical Models and Estimation
- 4.2 Information Similarity Metrics
- 4.3 A Benchmark for SAR Change Detection Evaluation
- 4.4 SAR Image Change Detection in the Wavelet Domain
- 5. Spatial and Temporal High Resolution SAR Feature Extraction
- 5.1 High Resolution SAR Image Feature Extraction
- 5.2 Features Based on the Ratio Detector
- 5.3 The Bag-of-Words Method
- 5.4 Three Contributions to BoW Features for SAR Image Classification
- 5.5 Evaluation Results and Comparisons
- 5.6 The Bag-of-Spatial-Temporal-Words (BoSTW) Method
- 6. Cascaded Active Learning for Spatialand Temporal SAR Image Information Mining
- 6.1 Overview of Cascaded Active Learning
- 6.2 Support Vector Machine (SVM)
- 6.3 SVM-based Active Learning
- 6.4 Multiple Instance Learning (MIL)
- 6.5 Visualization of SAR Image Time Series
- 6.6 Implementation
- 6.7 Evaluation and Discussion
- 6.8 Summary
- 7. Conclusions
- Nomenclature
- Derivation of the CDF of a K distribution
- References