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All Programs
Geographic Information Systems
Key GIS Technologies
Image processing
Image processing
Curriculum
11 Sections
77 Lessons
10 Weeks
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CHAPTER 1: Digital image and display
4
1.1
1.1 What is a digital image?
1.2
1.2 Digital image display
1.3
1.3 Some key points
1.4
1.4 Questions
CHAPTER 2: Point operations (contrast enhancement)
9
2.1
2.1 Histogram modification and lookup table
2.2
2.2 Linear contrast enhancement (LCE)
2.3
2.3 Logarithmic and exponential contrast enhancement
2.4
2.4 Histogram equalisation (HE)
2.5
2.5 Histogram matching (HM) and Gaussian stretch
2.6
2.6 Balance contrast enhancement technique (BCET)
2.7
2.7 Clipping in contrast enhancement
2.8
2.8 Tips for interactive contrast enhancement
2.9
2.9 Questions
CHAPTER 3: Algebraic operations (multi-image point operations)
9
3.1
3.1 Image addition
3.2
3.2 Image subtraction (differencing)
3.3
3.3 Image multiplication
3.4
3.4 Image division (ratio)
3.5
3.5 Index derivation and supervised enhancement
3.6
3.6 Standardization and logarithmic residual
3.7
3.7 Simulated reflectance
3.8
3.8 Summary
3.9
3.9 Questions
CHAPTER 4: Filtering and neighbourhood processing
8
4.1
4.1 FT: Understanding filtering in image frequency
4.2
4.2 Concepts of convolution for image filtering
4.3
4.3 Low pass filters (smoothing)
4.4
4.4 High pass filters (edge enhancement)
4.5
4.5 Local contrast enhancement
4.6
4.6 FFT selective and adaptive filtering
4.7
4.7 Summary
4.8
4.8 Questions
CHAPTER 5: RGB-IHS transformation
8
5.1
5.1 Colour co-ordinate transformation
5.2
5.2 IHS de-correlation stretch
5.3
5.3 Direct de-correlation stretch technique
5.4
5.4 Hue RGB colour composites
5.5
5.5 Derivation of RGB-IHS and IHS-RGB transformation based on 3D geometry of the RGB colour cube
5.6
5.6 Mathematical proof of DDS and its properties
5.7
5.7 Summary
5.8
5.8 Questions
CHAPTER 6: Image fusion techniques
5
6.1
6.1 RGB-IHS transformation as a tool for data fusion
6.2
6.2 Brovey transform (intensity modulation)
6.3
6.3 Smoothing filter-based intensity modulation
6.4
6.4 Summary
6.5
6.5 Questions
CHAPTER 7: Principal component analysis
8
7.1
7.1 Principle of the PCA
7.2
7.2 PC images and PC colour composition
7.3
7.3 Selective PCA for PC colour composition
7.4
7.4 De-correlation stretch
7.5
7.5 Physical property orientated coordinate transformation and tasselled cap transformation
7.6
7.6 Statistical methods for band selection
7.7
7.7 Remarks
7.8
7.8 Questions
CHAPTER 8: Image classification
7
8.1
8.1 Approaches of statistical classification
8.2
8.2 Unsupervised classification (iterative clustering)
8.3
8.3 Supervised classification
8.4
8.4 Decision rules: Dissimilarity functions
8.5
8.5 Post-classification processing: Smoothing and accuracy assessment
8.6
8.6 Summary
8.7
8.7 Questions
CHAPTER 9: Image geometric operations
5
9.1
9.1 Image geometric deformation
9.2
9.2 Polynomial deformation model and image warping co-registration
9.3
9.3 GCP selection and automation of image co-registration
9.4
9.4 Summary
9.5
9.5 Questions
CHAPTER 10: Introduction to interferometric synthetic aperture radar technique
8
10.1
10.1 The principle of a radar interferometer
10.2
10.2 Radar interferogram and DEM
10.3
10.3 Differential InSAR and deformation measurement
10.4
10.4 Multi-temporal coherence image and random change detection
10.5
10.5 Spatial de-correlation and ratio coherence technique
10.6
10.6 Fringe smoothing filter
10.7
10.7 Summary
10.8
10.8 Questions
CHAPTER 11: Sub-pixel technology and its applications
6
11.1
11.1 Phase correlation algorithm
11.2
11.2 PC scanning for pixel-wise disparity estimation
11.3
11.3 Pixel-wise image co-registration
11.4
11.4 Very narrow-baseline stereo matching and 3D data generation
11.5
11.5 Ground motion/deformation detection and estimation
11.6
11.6 Summary
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