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 Color Mapping
  4.1.2 Images Concatenation
  4.1.3 Image Conversion
  4.1.4 DEM Conversion
  4.1.5 Download or list SRTM tiles related to a set of images
  4.1.6 Extract ROI
  4.1.7 No Data management
  4.1.8 Multi Resolution Pyramid
  4.1.9 Quick Look
  4.1.10 Read image information
  4.1.11 Rescale Image
  4.1.12 Split Image
  4.1.13 Image Tile Fusion
 4.2 Vector Data Manipulation
  4.2.1 Concatenate
  4.2.2 Rasterization
  4.2.3 VectorData Extract ROI
  4.2.4 Vector Data reprojection
  4.2.5 Vector data set field
  4.2.6 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 Ply 3D files generation
  4.4.5 Generate a RPC sensor model
  4.4.6 Grid Based Image Resampling
  4.4.7 Image Envelope
  4.4.8 Ortho-rectification
  4.4.9 Pansharpening
  4.4.10 Refine Sensor Model
  4.4.11 Image resampling with a rigid transform
  4.4.12 Superimpose sensor
 4.5 Image Filtering
  4.5.1 Despeckle
  4.5.2 Dimensionality reduction
  4.5.3 Exact Large-Scale Mean-Shift segmentation, step 1 (smoothing)
  4.5.4 Smoothing
 4.6 Feature Extraction
  4.6.1 Binary Morphological Operation
  4.6.2 Compute Polyline Feature From Image
  4.6.3 Fuzzy Model estimation
  4.6.4 Edge Feature Extraction
  4.6.5 Grayscale Morphological Operation
  4.6.6 Haralick Texture Extraction
  4.6.7 Homologous Points Extraction
  4.6.8 Line segment detection
  4.6.9 Local Statistic Extraction
  4.6.10 Multivariate alteration detector
  4.6.11 Radiometric Indices
  4.6.12 SFS Texture Extraction
  4.6.13 Vector Data validation
 4.7 Stereo
  4.7.1 Pixel-wise Block-Matching
  4.7.2 Disparity map to elevation map
  4.7.3 Fine Registration
  4.7.4 Stereo Framework
  4.7.5 Stereo-rectification deformation grid generator
 4.8 Learning
  4.8.1 Classification Map Regularization
  4.8.2 Confusion matrix Computation
  4.8.3 Compute Images second order statistics
  4.8.4 Fusion of Classifications
  4.8.5 Image Classification
  4.8.6 Unsupervised KMeans image classification
  4.8.7 Predict Regression
  4.8.8 SOM Classification
  4.8.9 Train a classifier from multiple images
  4.8.10 Train a regression model
 4.9 Segmentation
  4.9.1 ComputeOGRLayersFeaturesStatistics
  4.9.2 Connected Component Segmentation
  4.9.3 Hoover compare segmentation
  4.9.4 Exact Large-Scale Mean-Shift segmentation, step 2
  4.9.5 Exact Large-Scale Mean-Shift segmentation, step 3 (optional)
  4.9.6 Exact Large-Scale Mean-Shift segmentation, step 4
  4.9.7 OGRLayerClassifier
  4.9.8 Segmentation
  4.9.9 TrainOGRLayersClassifier
 4.10 Miscellanous
  4.10.1 Example
  4.10.2 Band Math
  4.10.3 Images comparaison
  4.10.4 Hyperspectral data unmixing
  4.10.5 Image to KMZ Export
  4.10.6 Open Street Map layers importations applications
  4.10.7 Obtain UTM Zone From Geo Point
  4.10.8 Pixel Value
  4.10.9 SARDecompositions
  4.10.10 SARPolarMatrixConvert
  4.10.11 SARPolarSynth
  4.10.12 Vertex Component Analysis