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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
10.
Image Transformations
10.1.
Spectral Indices
10.1.1.
Vegetation Indices
10.1.1.1.
Normalized Difference Vegetation Index
10.1.1.2.
Enhanced Vegetation Index
10.1.1.3.
Soil Adjusted Vegetation Index
10.1.1.4.
Modified Soil Adjusted Vegetation Index
10.1.1.5.
Atmospherically Resistant Vegetation Index
10.1.2.
Water Indices
10.1.2.1.
Normalized Difference Water Index
10.1.2.2.
Modified Normalized Difference Water Index
10.1.2.3.
Water Ratio Index
10.1.3.
Burn Indices
10.1.3.1.
Normalized Burn Ratio
10.1.3.2.
Differenced Normalized Burn Ratio
10.1.3.3.
Burn Area Index
10.1.4.
Urban Indices
10.1.4.1.
Normalized Difference Built-up Index
10.1.4.2.
Urban Index
10.1.4.3.
Index-based Built-up Index
10.1.5.
Soil Indices
10.1.5.1.
Brightness Index
10.1.5.2.
Coloration Index
10.1.5.3.
Redness Index
10.2.
Principal Component Analysis
10.2.1.
PCA Theory
10.2.2.
Eigenvalue Analysis
10.2.3.
Component Interpretation
10.2.4.
Noise Reduction Applications
10.2.5.
Data Compression Applications
10.3.
Tasseled Cap Transformation
10.3.1.
Brightness Component
10.3.2.
Greenness Component
10.3.3.
Wetness Component
10.3.4.
Sensor-Specific Coefficients
10.4.
Independent Component Analysis
10.5.
Minimum Noise Fraction
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9. Image Enhancement Techniques
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11. Image Classification and Analysis