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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 Transformations
Spectral Indices
Vegetation Indices
Normalized Difference Vegetation Index
Enhanced Vegetation Index
Soil Adjusted Vegetation Index
Modified Soil Adjusted Vegetation Index
Atmospherically Resistant Vegetation Index
Water Indices
Normalized Difference Water Index
Modified Normalized Difference Water Index
Water Ratio Index
Burn Indices
Normalized Burn Ratio
Differenced Normalized Burn Ratio
Burn Area Index
Urban Indices
Normalized Difference Built-up Index
Urban Index
Index-based Built-up Index
Soil Indices
Brightness Index
Coloration Index
Redness Index
Principal Component Analysis
PCA Theory
Eigenvalue Analysis
Component Interpretation
Noise Reduction Applications
Data Compression Applications
Tasseled Cap Transformation
Brightness Component
Greenness Component
Wetness Component
Sensor-Specific Coefficients
Independent Component Analysis
Minimum Noise Fraction
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9. Image Enhancement Techniques
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11. Image Classification and Analysis