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Engineering
Other Engineering Fields
Photogrammetry
1. Introduction to Photogrammetry
2. Mathematical Foundations
3. Camera Systems and Imaging Principles
4. Geometric Principles and Mathematical Models
5. Photogrammetric Computations
6. Data Acquisition Planning and Execution
7. Ground Control and Georeferencing
8. Digital Photogrammetric Processing
9. Photogrammetric Products and Deliverables
10. Accuracy Assessment and Quality Control
11. Specialized Applications
12. Advanced Photogrammetric Techniques
13. Integration with Other Technologies
14. Emerging Technologies and Future Trends
3.
Camera Systems and Imaging Principles
3.1.
Camera Models
3.1.1.
Pinhole Camera Model
3.1.1.1.
Basic Geometry
3.1.1.2.
Image Formation Process
3.1.1.3.
Limitations and Assumptions
3.1.2.
Perspective Projection
3.1.2.1.
Central Projection Principles
3.1.2.2.
Perspective Transformation
3.2.
Lens Systems and Optics
3.2.1.
Focal Length
3.2.1.1.
Definition and Measurement
3.2.1.2.
Effect on Image Scale
3.2.1.3.
Field of View Relationship
3.2.2.
Aperture Control
3.2.2.1.
f-stop Numbers
3.2.2.2.
Depth of Field Effects
3.2.2.3.
Exposure Control
3.2.3.
Lens Types
3.2.3.1.
Prime Lenses
3.2.3.2.
Zoom Lenses
3.2.3.3.
Wide-Angle Lenses
3.2.3.4.
Telephoto Lenses
3.2.4.
Lens Distortions
3.2.4.1.
Radial Distortion
3.2.4.1.1.
Barrel Distortion
3.2.4.1.2.
Pincushion Distortion
3.2.4.1.3.
Mathematical Models
3.2.4.2.
Tangential Distortion
3.2.4.2.1.
Decentering Distortion
3.2.4.2.2.
Thin Prism Distortion
3.2.4.3.
Chromatic Aberration
3.3.
Digital Image Sensors
3.3.1.
Sensor Technologies
3.3.1.1.
CCD Sensors
3.3.1.2.
CMOS Sensors
3.3.1.3.
Performance Comparison
3.3.2.
Sensor Characteristics
3.3.2.1.
Sensor Size and Format
3.3.2.2.
Pixel Size and Pitch
3.3.2.3.
Resolution and Megapixels
3.3.2.4.
Dynamic Range
3.3.2.5.
Signal-to-Noise Ratio
3.3.3.
Color Imaging
3.3.3.1.
Bayer Filter Pattern
3.3.3.2.
Color Interpolation
3.3.3.3.
Color Spaces and Profiles
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4. Geometric Principles and Mathematical Models