From weather forecasting to military intelligence, satellite images help solve some of our most challenging problems on Earth. Since 2006, the French Space Agency have been actively developing an open source remote sensing image processing toolbox called the Orfeo ToolBox (OTB), which provides a large set of ready-to-use tools and a high performance satellite image viewer. It offers a wide range of processing algorithms, which permit the creation of high level processing chains that will run on a desktop computer or clusters alike. The processing capabilities cover pre-processing for several sensors, feature extraction, image segmentation, classification, as well as algorithms for hyperspectral and radar data. OTB is now used to design processing chains that can efficiently process thousands of remote sensing images (Sentinels, SPOT, Pléiades) to derive country-scale value added products.
The presentation will present the challenge of extracting valuable information from Earth Observation data and how open source software like OTB can help in this context.
About the speaker
Manuel Grizonnet received the Mathematical modelling, Vision, Graphics and Simulation Engineer degree from the École Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble, France, in 2007. From 2007 to 2009 he worked for BRGM (French geological survey) in Niamey, Niger as a systems and GIS engineer in the frame of the SYSMIN project which aim to give the Niger ways to promote its mining potential by establishing a Geological Information System (GIS). He is currently with the Centre National d’Études Spatiales (French Space Agency), Toulouse, France, where he is developing image processing algorithms and software for the exploitation of Earth observation images.