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Part III
User’s guide
6
Data Representation
6.1
Image
6.2
PointSet
6.3
Mesh
6.4
Path
7
Reading and Writing Images
7.1
Basic Example
7.2
Pluggable Factories
7.3
IO Streaming
7.4
Reading and Writing RGB Images
7.5
Reading, Casting and Writing Images
7.6
Extracting Regions
7.7
Reading and Writing Vector Images
7.8
Reading and Writing Multiband Images
7.9
Reading Image Series
7.10
Extended filename for reader and writer
8
Reading and Writing Auxilary Data
8.1
Reading DEM Files
8.2
Elevation management with OTB
8.3
Reading and Writing Shapefiles and KML
8.4
Handling large vector data through OGR
9
Basic Filtering
9.1
Thresholding
9.2
Mathematical operations on images
9.3
Gradients
9.4
Second Order Derivatives
9.5
Edge Detection
9.6
Neighborhood Filters
9.7
Smoothing Filters
9.8
Distance Map
10
Image Registration
10.1
Registration Framework
10.2
”Hello World” Registration
10.3
Features of the Registration Framework
10.4
Multi-Modality Registration
10.5
Centered Transforms
10.6
Transforms
10.7
Metrics
10.8
Optimizers
10.9
Landmark-based registration
11
Disparity Map Estimation
11.1
Disparity Maps
11.2
Regular grid disparity map estimation
11.3
Irregular grid disparity map estimation
11.4
Stereo reconstruction
12
Orthorectification and Map Projection
12.1
Sensor Models
12.2
Map Projections
12.3
Orthorectification with OTB
12.4
Vector data projection manipulation
12.5
Geometries projection manipulation
12.6
Elevation management with OTB
12.7
Vector data area extraction
13
Radiometry
13.1
Radiometric Indices
13.2
Atmospheric Corrections
14
Image Fusion
14.1
Simple Pan Sharpening
14.2
Bayesian Data Fusion
15
Feature Extraction
15.1
Textures
15.2
Interest Points
15.3
Alignments
15.4
Lines
15.5
Density Features
15.6
Geometric Moments
15.7
Road extraction
15.8
Cloud Detection
16
Multi-scale Analysis
16.1
Introduction
16.2
Morphological Pyramid
17
Image Segmentation
17.1
Region Growing
17.2
Segmentation Based on Watersheds
17.3
Level Set Segmentation
18
Image Simulation
18.1
PROSAIL model
18.2
Image Simulation
19
Dimension Reduction
19.1
Principal Component Analysis
19.2
Noise-Adjusted Principal Components Analysis
19.3
Maximum Noise Fraction
19.4
Fast Independant Component Analysis
19.5
Maximum Autocorrelation Factor
20
Classification
20.1
Introduction
20.2
Unsupervised classification
20.3
Supervised classification
20.4
Fusion of Classification maps
20.5
Classification map regularization
21
Object-based Image Analysis
21.1
From Images to Objects
21.2
Object Attributes
21.3
Object Filtering based on radiometric and statistics attributes
21.4
Hoover metrics to compare segmentations
22
Change Detection
22.1
Introduction
22.2
Change Detection Framework
22.3
Simple Detectors
22.4
Statistical Detectors
22.5
Multi-Scale Detectors
22.6
Multi-components detectors
23
Hyperspectral
23.1
Unmixing
23.2
Dimensionality reduction
23.3
Anomaly detection
24
Image Visualization and output
24.1
Images
25
Online data
25.1
Name to Coordinates
25.2
Open Street Map
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