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Physics
Applied and Interdisciplinary Physics
Remote Sensing
1. Fundamentals of Remote Sensing
2. Physical Principles of Remote Sensing
3. Remote Sensing Platforms
4. Remote Sensing Sensors
5. Remote Sensing Data Characteristics
6. Data Formats and Standards
7. Digital Image Processing Fundamentals
8. Image Pre-processing
9. Image Enhancement Techniques
10. Image Transformations
11. Image Classification and Analysis
12. Change Detection Analysis
13. Advanced Remote Sensing Systems
14. Remote Sensing Applications
Image Pre-processing
Radiometric Corrections
Sensor Calibration
Dark Current Correction
Flat Field Correction
Gain and Offset Correction
Atmospheric Correction
Atmospheric Effects
Correction Methods
Dark Object Subtraction
Empirical Line Method
Radiative Transfer Models
Atmospheric Parameter Estimation
Topographic Correction
Illumination Effects
Slope and Aspect Calculations
Correction Algorithms
Sun Angle Normalization
Geometric Corrections
Sources of Geometric Distortion
Platform Motion
Earth Rotation
Terrain Relief
Sensor Characteristics
Geometric Correction Process
Ground Control Points
Transformation Models
Polynomial Transformations
Rational Functions
Rigorous Models
Image Registration
Reference Image Selection
Control Point Collection
Accuracy Assessment
Orthorectification
Digital Elevation Models
Orthoimage Generation
Accuracy Requirements
Resampling Methods
Nearest Neighbor
Bilinear Interpolation
Cubic Convolution
Resampling Considerations
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7. Digital Image Processing Fundamentals
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9. Image Enhancement Techniques