| |
|
| |
|
|
|
|
M.Sc. - Building Detection in Aerial Images
Thesis (download)
- [PDF
(2.7 Mb)]
- 1. Introduction
- 2. Task
- 2.1 Image Material
- 2.2 Scene Discussion
- 2.3 Manual Classification
- [PDF
(3.8 Mb)]
- 3. Previous work
- 3.1 Active Research Groups
- 3.2 Methods for Building Detection
- 3.3 Advanced Road Detection
- 3.4 Summary
- 4. Framework
- [PDF
(5.3 Mb)]
- 5. Scene Illumination Model
- 5.1 Foundations
- 5.2 Location of the Sun
- 5.3 Solar Radiation Spectrum
- 5.4 Solar Intensity Distribution
- 5.5 Applications
- 5.6 Summary
- [PDF
(18.9 Mb)]
- 6. Pixel Classification
- 6.1 Classification Methods
- 6.2 Bayesian Classification
- 6.3 CART
- 6.4 K-means clustering
- 6.5 Results
- 6.6 Summary
- [PDF
(8.5 Mb)]
- 7. Shadows
- 7.1 Shadow Detection
- 7.2 Shadow Removal
- 7.3 Roof Ridge Detection
- 7.4 Summary
- [PDF
(22.7 Mb)]
- 8. Texture Analysis
- 8.1 Grey Level Cooccurrence Matrices
- 8.2 Fractal Dimension
- 8.3 SA Model
- 8.4 Fourier Transform
- 8.5 Summary
- [PDF
(10.7 Mb)]
- 9. Image Segmentation
- 9.1 Region Growing
- 9.2 Implementation
- 9.3 Summary
- [PDF
(12.6 Mb)]
- 10. Segment Features
- 10.1 Segment Border Features
- 10.2 Parallelogram Fitting
- 10.3 Scene Illumination Features
- 10.4 Luminance Features
- 10.5 Simple and Derived Features
- 10.6 Record Format
- 10.7 Summary
- [PDF
(16.3 Mb)]
- 11. Segment Classification
- 11.1 Manual Classification
- 11.2 Hough-like Building Row Detection
- 11.3 CART Classification
- 11.4 Model-based Building Detection
- 11.5 Summary
- [PDF
(19.4 Mb)]
- Appendix B. Pixel Classification Results
- B.1 Linear Discriminant Analysis Results
- B.2 Quadratic Discriminant Analysis Results
- B.3 CART Results
- B.4 K-Mean Clustering Results
- [PDF
(3.6 Mb)]
- Appendix C. Texture Results
- C.1 GLCM Results
- C.2 SAR Results
- [PDF
(12.5 Mb)]
- Appendix D. Segment Classification
- D.1 CART Classification using Local
Features
- D.2 CART Classification using Contextual
Features
|
| |
|
|
|
