Orfeo Toolbox (OTB) is a high resolution remote sensing image processing library. It contains a set of algorithmic components which allow the user to capitalize on methodological know how, and therefore use an incremental approach to profit from the results of methodological research. OTB is made of a set of basic elements (a C++ class API) and utilities (independent programs built upon the base API).
|Tags||multimedia Graphics Scientific/Engineering Image Recognition|
|Operating Systems||OS Independent|
Release Notes: Manages GDAL driver options and sesor metadata through extended filenames. The framework for residual registration is based on improvements in the sensor modeling geometry. Feature extraction applications, fusion of classifiers, classification regularization, and one-click DEM generation from a stereo image pair.
Release Notes: 21 bugs have been spotted and fixed since the last major release.
Release Notes: This release adds full support for Pléiades imagery, a new set of classes based on GDAL/OGR to handle large vector datasets efficiently, a complete framework to perform segmentation, and an extended suite of filters and associated applications to go from raw stereo pairs all the way to a real cartographic Digital Elevation Model.
Release Notes: Large JPEG2000 file (Pleiades-like) support and Pleiades metadata handling. Efficient JPEG2000 visualization and ROI decompression tools in Monteverdi. A revamp of otb applications in a generic and scalable framework: launch applications from the command line, from an auto-generated QT GUI, from Python, from within QGis, etc. There are many new algorithms: Dimensionality Reduction (ICA, PCA, MNF, MAF, etc.), change detection (MAD), Hyperspectral Unmixing, elevation map from stereo data, compare segmentation with a ground truth (Hoover), etc. There are various bugfixes.
Release Notes: Lots of new features were added, including a multi-image supervised classification suite in OTB-Applications, an application to perform segmentation based on connected components and object based image analysis, a framework for cartographic database creation, and validation based on the fusion of features in the framework of Dempster-Shafer evidence theory.