Table of Contents

• Welcome to Orfeo ToolBox!
• Installation
  • Windows
    • Python bindings
    • Notes
  • Linux
    • System dependencies
    • Caveat on OTB 6.0
    • Python bindings
    • FAQ
  • MacOS X
    • Python bindings
    • FAQ
  • Other packages
    • Debian
    • Ubuntu 12.04 and higher
    • OpenSuse 12.X and higher
• A brief tour of OTB Applications
  • Command-line launcher
  • Graphical launcher
  • Python interface
  • Load and save parameters to XML
  • Parallel execution with MPI
• QGIS interface
  • The QGIS-OTB plugin (requires QGIS > 3.0)
    • For Linux/Unix/MacOSX
    • For Windows
    • Download and Install OTB
    • Configure plugin in QGIS
    • Open processing settings
  • Using the processing toolbox (for QGIS < 3.0)
    • Using a custom OTB
• Monteverdi
  • Main menu
  • Top toolbar
  • Image displaying
  • Right side dock
  • Layer stack
    • Examples
  • Optical calibration
  • BandMath
  • Segmentation
  • Polarimetry
  • Pansharpening
  • Conclusion
• Advanced Use
  • Environment variables that affect Orfeo ToolBox
  • Extended filenames
    • Reader options
    • Writer options
    • OGR DataSource options
    • Examples
• Recipes
  • From raw image to calibrated product
    • Optical radiometric calibration
    • Pan-sharpening
    • Digital Elevation Model management
    • Ortho-rectification and map projections
  • SAR processing
    • Calibration
    • Despeckle
    • Polarimetry
  • Residual registration
    • Extract metadata from the image reference
    • Extract homologous points from images
    • Geometry refinement using homologous points
    • Orthorectify image using the affine geometry
  • Image processing and information extraction
    • Simple calculus with channels
    • Images with no-data values
    • Segmentation
    • Large-Scale Mean-Shift (LSMS) segmentation
    • Dempster Shafer based Classifier Fusion
  • BandMathImageFilterX (based on muParserX)
    • Fundamentals: headers, declaration and instantiation
    • Syntax: first elements
    • New operators and functions
    • Application Programming Interface (API)
  • Enhance local contrast
    • Principles
    • Advanced parameters
  • Classification
    • Feature classification and training
    • Pixel based classification
    • Unsupervised learning
    • Fusion of classification maps
    • Majority voting based classification map regularization
    • Regression
  • Feature extraction
    • Local statistics extraction
    • Edge extraction
    • Radiometric indices extraction
    • Morphological features extraction
    • Textural features extraction
  • Stereoscopic reconstruction from VHR optical images pair
    • Estimate epipolar geometry transformation
    • Resample images in epipolar geometry
    • Disparity estimation: Block matching along epipolar lines
    • From disparity to Digital Surface Model
    • One application to rule them all in multi stereo framework scheme
    • Stereo reconstruction good practices
    • Algorithm outline
  • OTB processing in Python
    • Basics
    • Numpy array processing
    • In-memory connection
    • Interactions with OTB pipeline
    • Corner cases
• Applications Reference Documentation
  • Miscellaneous
    • BandMath - Band Math
    • BandMathX - Band Math X
    • CompareImages - Images comparison
    • HyperspectralUnmixing - Hyperspectral data unmixing
    • KmzExport - Image to KMZ Export
    • OSMDownloader - Open Street Map layers import
    • ObtainUTMZoneFromGeoPoint - Obtain UTM Zone From Geo Point
    • PixelValue - Pixel Value
    • VertexComponentAnalysis - Vertex Component Analysis
  • Feature Extraction
    • BinaryMorphologicalOperation - Binary Morphological Operation
    • ComputePolylineFeatureFromImage - Compute Polyline Feature From Image
    • DSFuzzyModelEstimation - Fuzzy Model estimation
    • EdgeExtraction - Edge Feature Extraction
    • GrayScaleMorphologicalOperation - Grayscale Morphological Operation
    • HaralickTextureExtraction - Haralick Texture Extraction
    • HomologousPointsExtraction - Homologous Points Extraction
    • LineSegmentDetection - Line segment detection
    • LocalStatisticExtraction - Local Statistic Extraction
    • MorphologicalClassification - Morphological Classification
    • MorphologicalMultiScaleDecomposition - Morphological Multi Scale Decomposition
    • MorphologicalProfilesAnalysis - Morphological Profiles Analysis
    • RadiometricIndices - Radiometric Indices
    • SFSTextureExtraction - SFS Texture Extraction
    • VectorDataDSValidation - Vector Data validation
  • Stereo
    • BlockMatching - Pixel-wise Block-Matching
    • DisparityMapToElevationMap - Disparity map to elevation map
    • FineRegistration - Fine Registration
    • StereoFramework - Stereo Framework
    • StereoRectificationGridGenerator - Stereo-rectification deformation grid generator
  • Geometry
    • BundleToPerfectSensor - Bundle to perfect sensor
    • ConvertCartoToGeoPoint - Cartographic to geographic coordinates conversion
    • ConvertSensorToGeoPoint - Convert Sensor Point To Geographic Point
    • GeneratePlyFile - Ply 3D files generation
    • GenerateRPCSensorModel - Generate a RPC sensor model
    • GridBasedImageResampling - Grid Based Image Resampling
    • ImageEnvelope - Image Envelope
    • OrthoRectification - Ortho-rectification
    • Pansharpening - Pansharpening
    • RefineSensorModel - Refine Sensor Model
    • RigidTransformResample - Image resampling with a rigid transform
    • Superimpose - Superimpose sensor
  • Learning
    • ClassificationMapRegularization - Classification Map Regularization
    • ComputeConfusionMatrix - Confusion matrix Computation
    • ComputeImagesStatistics - Compute Images second order statistics
    • FusionOfClassifications - Fusion of Classifications
    • ImageClassifier - Image Classification
    • ImageDimensionalityReduction - Image Dimensionality Reduction
    • KMeansClassification - Unsupervised KMeans image classification
    • MultiImageSamplingRate - Multi-image sampling rate estimation
    • PolygonClassStatistics - Polygon Class Statistics
    • PredictRegression - Predict Regression
    • SOMClassification - SOM Classification
    • SampleAugmentation - Sample Augmentation
    • SampleExtraction - Sample Extraction
    • SampleSelection - Sample Selection
    • TrainDimensionalityReduction - Train Dimensionality Reduction
    • TrainImagesClassifier - Train a classifier from multiple images
    • TrainRegression - Train a regression model
    • TrainVectorClassifier - Train Vector Classifier
    • VectorClassifier - Vector Classification
    • VectorDimensionalityReduction - Vector Dimensionality Reduction
  • Image Manipulation
    • ColorMapping - Color Mapping
    • ConcatenateImages - Images Concatenation
    • DEMConvert - DEM Conversion
    • DownloadSRTMTiles - Download or list SRTM tiles related to a set of images
    • DynamicConvert - Dynamic Conversion
    • ExtractROI - Extract ROI
    • ManageNoData - No Data management
    • MultiResolutionPyramid - Multi Resolution Pyramid
    • Quicklook - Quick Look
    • ReadImageInfo - Read image information
    • SplitImage - Split Image
    • TileFusion - Image Tile Fusion
  • SAR
    • ComputeModulusAndPhase - Compute Modulus And Phase
    • SARDeburst - SAR Deburst
    • SARDecompositions - SARDecompositions
    • SARPolarMatrixConvert - SARPolarMatrixConvert
    • SARPolarSynth - SARPolarSynth
  • Segmentation
    • ComputeOGRLayersFeaturesStatistics - ComputeOGRLayersFeaturesStatistics
    • ConnectedComponentSegmentation - Connected Component Segmentation
    • HooverCompareSegmentation - Hoover compare segmentation
    • LSMSSegmentation - Exact Large-Scale Mean-Shift segmentation, step 2
    • LSMSSmallRegionsMerging - Exact Large-Scale Mean-Shift segmentation, step 3 (optional)
    • LSMSVectorization - Exact Large-Scale Mean-Shift segmentation, step 4
    • LargeScaleMeanShift - Large-Scale MeanShift
    • OGRLayerClassifier - OGRLayerClassifier
    • Segmentation - Segmentation
  • Vector Data Manipulation
    • ConcatenateVectorData - Concatenate Vector Data
    • Rasterization - Rasterization
    • VectorDataExtractROI - VectorData Extract ROI
    • VectorDataReprojection - Vector Data reprojection
    • VectorDataSetField - Vector data set field
    • VectorDataTransform - Vector Data Transformation
  • Image Filtering
    • ContrastEnhancement - Contrast Enhancement
    • Despeckle - Despeckle
    • DimensionalityReduction - Dimensionality reduction
    • DomainTransform - DomainTransform
    • MeanShiftSmoothing - MeanShift Smoothing
    • Smoothing - Smoothing
  • Deprecated
    • Convert - Image Conversion
    • Rescale - Rescale Image
  • Change Detection
    • MultivariateAlterationDetector - Multivariate Alteration Detector
  • Calibration
    • OpticalCalibration - Optical calibration
    • SARCalibration - SAR Radiometric calibration
• Frequently Asked Questions
  • Introduction
    • What’s in OTB?
    • What is ORFEO?
    • Where can I get more information about ORFEO?
    • What is the ORFEO Accompaniment Program?
    • Where can I get more information about the ORFEO Accompaniment Program?
    • Who is responsible for OTB’s development?
  • License
    • What is OTB’s license?
    • Am I forced to distribute my code based on OTB?
    • Am I forced to contribute my code based on OTB into the official repo?
    • If I wanted to distribute an application using OTB what license would I need to use?
    • I am a commercial user. Is there any restriction on the use of OTB?
  • Getting OTB
    • Who can download OTB?
    • Where can I download OTB?
    • How to get the latest bleeding-edge version?
  • Special issues about compiling OTB from source
    • Debian Linux / Ubuntu
    • Errors when compiling internal libkml
    • OTB compilation and Windows platform
  • Using OTB
    • What is the image size limitation of OTB ?
    • Problems using OTB python wrapping along with other software
  • Getting help
    • Is there any mailing list?
    • Which is the main source of documentation?
  • Contributing to OTB
    • I want to contribute to OTB, where to begin?
    • What are the benefits of contributing to OTB?
    • What functionality can I contribute?
  • Running the tests
    • What are the tests?
    • How to run the tests?
    • How to get the test data?
    • How to submit the results?
    • What features will the OTB include and when?