PIC _________________________________________________________________________________________________________

The Orfeo ToolBox Cookbook, a guide for non-developers
Updated for OTB-3.12

OTB Development Team
January 31, 2012
http://www.orfeo-toolbox.org
e-mail: otb@cnes.fr

PIC

The ORFEO Toolbox is not a black box.

      Ch.D.

Foreword
Contents
List of Figures
List of Tables
1 A brief tour of OTB-Applications
 1.1 Introduction
 1.2 Installation
  1.2.1 Windows 2000/XP/Vista/Seven
  1.2.2 MacOS X
  1.2.3 Linux
 1.3 Using the applications
  1.3.1 Simplified use
  1.3.2 Using the command-line launcher
  1.3.3 Using the GUI launcher
  1.3.4 Using the Python interface
2 A brief tour of Monteverdi
 2.1 Introduction
 2.2 Installation
 2.3 Anatomy of the applications
  2.3.1 What does it look like?
  2.3.2 Open an image with Monteverdi
  2.3.3 Visualize an image with Monteverdi
  2.3.4 Cache dataset
  2.3.5 Dynamic GUI definition
  2.3.6 Dynamic I/O definition
 2.4 Available modules
  2.4.1 I/O operations
  2.4.2 Geometric process
  2.4.3 Calibration
  2.4.4 Filtering Operations
  2.4.5 Learning
  2.4.6 Specific SAR functionnalities
3 Recipes
 3.1 Optical pre-processing
  3.1.1 Optical radiometric calibration
  3.1.2 Pan-sharpening
  3.1.3 Digital Elevation Model management
  3.1.4 Ortho-rectification and map projections
 3.2 Image processing and information extraction
  3.2.1 Simple calculus with channels
  3.2.2 Classification
  3.2.3 Dempster Shafer based Classifier Fusion
4 Applications Reference Documentation
 4.1 Image Manipulation
  4.1.1 Images Concatenation
  4.1.2 Image Conversion
  4.1.3 Extract ROI
  4.1.4 Multi Resolution Pyramid
  4.1.5 Quick Look
  4.1.6 Read image information
  4.1.7 Rescale Image
  4.1.8 Split Image
 4.2 Vector Data Manipulation
  4.2.1 Concatenate
  4.2.2 Rasterization
  4.2.3 VectorData Extract ROI
  4.2.4 Vector data set field
  4.2.5 Vector Data Transformation
 4.3 Calibration
  4.3.1 Optical calibration
  4.3.2 SAR Radiometric calibration
 4.4 Geometry
  4.4.1 Bundle to perfect sensor
  4.4.2 Cartographic to geographic coordinates conversion
  4.4.3 Convert Sensor Point To Geographic Point
  4.4.4 Image Envelope
  4.4.5 Ortho-rectification
  4.4.6 Image resampling with a rigid transform
  4.4.7 Superimpose sensor
 4.5 Image Filtering
  4.5.1 Maximum Auto-correlation Factor Decomposition
  4.5.2 Smoothing
 4.6 Feature Extraction
  4.6.1 Compute Polyline Feature From Image
  4.6.2 Fuzzy Model estimation
  4.6.3 Line segment detection
  4.6.4 Multivariate alteration detector
  4.6.5 Radiometric Vegetation
  4.6.6 Vector Data validation
 4.7 Stereo
  4.7.1 Fine Registration
  4.7.2 Stereo sensor model to elevation map
 4.8 Learning
  4.8.1 Color Mapping
  4.8.2 Compute Images second order statistics
  4.8.3 Image SVM Classification
  4.8.4 Unsupervised KMeans image classification
  4.8.5 SOM Classification
  4.8.6 Train SVM classifier from multiple images
  4.8.7 Validate SVM Images Classifier
 4.9 Segmentation
  4.9.1 Connected Component Segmentation
  4.9.2 Mean Shift segmentation
 4.10 Miscellanous
  4.10.1 Band Math
  4.10.2 Images comparaison
  4.10.3 Hyperspectral data unmixing
  4.10.4 Image to KMZ Export
  4.10.5 Open Street Map layers importations applications
  4.10.6 Obtain UTM Zone From Geo Point
  4.10.7 Vertex Component Analysis