Version 1.2.1 of ORFEO Toolbox
Release Notes: Minor bugs were fixed. Support was added for Python binding compilation, including ITK binding templated with OTB images, OTB I/O, and OTB Image viewer. OSSIM has been integrated in the OTB Utilities directory to prepare for its future use in new geometric features.
Other releases
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.
Release Notes: A new object detection framework was added. Local descriptors tools based on ImageFunction were improved. In SVMClassifier, hyperplanes distances as output were added. GDALImageIO now has support for writing non-streamable formats (such as JPEG or PNG). Reading vector images of std::complex is supported. In BandMathFilter, physical and image coordinates variables were added. A class to generate a kmz file from an image was added.
Release Notes: A filter was added to perform arbitrary mathematical operations on image bands. A class to parse mathematical expressions and an interpolation function were added. Filters were added to compute extrema of big images. A filter was added to perform fine registration between images. Filters for higher order texture computation were added.
Release Notes: This release produces hill shade images from DEM, compute point set density functions (Gaussian, Epanechnikov), extract a subset from a point set, applys a transform to a point set, generates a random point set, computes confusion matrices, generates a list of samples from vector data, computes ground spacing, reads 6S spectral sensitivity files, and includes improvements in the computation of Haralick Texture coefficients.
