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PART I: Image processing - CEdge Learn
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Geographic Information Systems
Key GIS Technologies
PART I: Image processing
PART I: Image processing
Curriculum
11 Sections
77 Lessons
10 Weeks
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CHAPTER 1: Digital image and display
4
6.7
1.1 What is a digital image?
6.8
1.2 Digital image display
6.9
1.3 Some key points
6.10
1.4 Questions
CHAPTER 2: Point operations (contrast enhancement)
9
11.12
2.1 Histogram modification and lookup table
11.13
2.2 Linear contrast enhancement (LCE)
11.14
2.3 Logarithmic and exponential contrast enhancement
11.15
2.4 Histogram equalisation (HE)
11.16
2.5 Histogram matching (HM) and Gaussian stretch
11.17
2.6 Balance contrast enhancement technique (BCET)
11.18
2.7 Clipping in contrast enhancement
11.19
2.8 Tips for interactive contrast enhancement
11.20
2.9 Questions
CHAPTER 3: Algebraic operations (multi-image point operations)
9
21.22
3.1 Image addition
21.23
3.2 Image subtraction (differencing)
21.24
3.3 Image multiplication
21.25
3.4 Image division (ratio)
21.26
3.5 Index derivation and supervised enhancement
21.27
3.6 Standardization and logarithmic residual
21.28
3.7 Simulated reflectance
21.29
3.8 Summary
21.30
3.9 Questions
CHAPTER 4: Filtering and neighbourhood processing
8
31.32
4.1 FT: Understanding filtering in image frequency
31.33
4.2 Concepts of convolution for image filtering
31.34
4.3 Low pass filters (smoothing)
31.35
4.4 High pass filters (edge enhancement)
31.36
4.5 Local contrast enhancement
31.37
4.6 FFT selective and adaptive filtering
31.38
4.7 Summary
31.39
4.8 Questions
CHAPTER 5: RGB-IHS transformation
8
40.41
5.1 Colour co-ordinate transformation
40.42
5.2 IHS de-correlation stretch
40.43
5.3 Direct de-correlation stretch technique
40.44
5.4 Hue RGB colour composites
40.45
5.5 Derivation of RGB-IHS and IHS-RGB transformation based on 3D geometry of the RGB colour cube
40.46
5.6 Mathematical proof of DDS and its properties
40.47
5.7 Summary
40.48
5.8 Questions
CHAPTER 6: Image fusion techniques
5
49.50
6.1 RGB-IHS transformation as a tool for data fusion
49.51
6.2 Brovey transform (intensity modulation)
49.52
6.3 Smoothing filter-based intensity modulation
49.53
6.4 Summary
49.54
6.5 Questions
CHAPTER 7: Principal component analysis
8
55.56
7.1 Principle of the PCA
55.57
7.2 PC images and PC colour composition
55.58
7.3 Selective PCA for PC colour composition
55.59
7.4 De-correlation stretch
55.60
7.5 Physical property orientated coordinate transformation and tasselled cap transformation
55.61
7.6 Statistical methods for band selection
55.62
7.7 Remarks
55.63
7.8 Questions
CHAPTER 8: Image classification
7
64.65
8.1 Approaches of statistical classification
64.66
8.2 Unsupervised classification (iterative clustering)
64.67
8.3 Supervised classification
64.68
8.4 Decision rules: Dissimilarity functions
64.69
8.5 Post-classification processing: Smoothing and accuracy assessment
64.70
8.6 Summary
64.71
8.7 Questions
CHAPTER 9: Image geometric operations
5
72.73
9.1 Image geometric deformation
72.74
9.2 Polynomial deformation model and image warping co-registration
72.75
9.3 GCP selection and automation of image co-registration
72.76
9.4 Summary
72.77
9.5 Questions
CHAPTER 10: Introduction to interferometric synthetic aperture radar technique
8
78.79
10.1 The principle of a radar interferometer
78.80
10.2 Radar interferogram and DEM
78.81
10.3 Differential InSAR and deformation measurement
78.82
10.4 Multi-temporal coherence image and random change detection
78.83
10.5 Spatial de-correlation and ratio coherence technique
78.84
10.6 Fringe smoothing filter
78.85
10.7 Summary
78.86
10.8 Questions
CHAPTER 11: Sub-pixel technology and its applications
6
87.88
11.1 Phase correlation algorithm
87.89
11.2 PC scanning for pixel-wise disparity estimation
87.90
11.3 Pixel-wise image co-registration
87.91
11.4 Very narrow-baseline stereo matching and 3D data generation
87.92
11.5 Ground motion/deformation detection and estimation
87.93
11.6 Summary
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