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