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