Orfeo ToolBox (OTB) is a collection of remote-sensing image processing algorithms designed for very large optical, multispectral, hyperspectral and radar imagery.
Initiated by CNES, it provides reusable processing components together with ready-made applications that can be called from the command line, Python or QGIS. Its streaming and multi-threaded architecture lets many algorithms work on imagery larger than available memory, while the C++ API supports construction of specialised processing chains.
This is free and open source software.
Key Features
- Reads and writes a broad range of raster and vector formats through GDAL, with access to image metadata and sensor models.
- Processes very large images using streaming to work within memory constraints.
- Multi-threaded implementation for many processing algorithms.
- Radiometric correction and geometric preprocessing including orthorectification and map projection workflows.
- Pansharpening and image-fusion algorithms for combining spatial and spectral information.
- Image filtering for denoising, smoothing and enhancement.
- Feature extraction including keypoints, line detection, texture measures and radiometric indices.
- Segmentation with watershed, connected components and MeanShift methods.
- Supervised classification with algorithms including SVM and Random Forest.
- Unsupervised classification with K-Means and Self Organizing Maps.
- Change-detection tools including multivariate alteration detection.
- Hyperspectral dimensionality reduction, endmember extraction and spectral unmixing.
- SAR processing including calibration, speckle filtering, polarimetric analysis and interferometry.
- Object-based image analysis with attribute computation, filtering and classification.
- Algorithms are accessible from C++, Python, the command line and QGIS, supporting both scripted and interactive workflows.
Website: gitlab.orfeo-toolbox.org/orfeotoolbox/otb
Support:
Developer: CNES and OTB Development Team
License: Apache License 2.0
Orfeo ToolBox is written primarily in C++. Learn C++ with our recommended free books and free tutorials.
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