Chapter 4
Applications Reference Documentation

This chapter is the reference documentation for applications delivered with Orfeo ToolBox. It provides detailed description of the application behaviour and parameters, as well as python and bash snippets to use them applications. For a general introduction on applications delivered with Orfeo ToolBox, please read chapter1, page 5.

 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 Grid Based Image Resampling
  4.4.5 Image Envelope
  4.4.6 Ortho-rectification
  4.4.7 Image resampling with a rigid transform
  4.4.8 Stereo-rectification deformation grid generator
  4.4.9 Superimpose sensor
 4.5 Image Filtering
  4.5.1 Dimensionality reduction application
  4.5.2 Maximum Auto-correlation Factor Decomposition
  4.5.3 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 Radiometric Water
  4.6.7 Vector Data validation
 4.7 Stereo
  4.7.1 Disparity map to elevation map
  4.7.2 Fine Registration
  4.7.3 Pixel-wise Block-Matching
  4.7.4 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 Hoover compare segmentation
  4.9.3 Large Scale segmentation
  4.9.4 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 Pixel Value
  4.10.8 Vertex Component Analysis