From daniel.o.mcinerney at gmail.com Fri Jun 8 03:52:45 2018 From: daniel.o.mcinerney at gmail.com (Daniel McInerney) Date: Fri, 8 Jun 2018 11:52:45 +0100 Subject: [Ireland] OrfeoToolbox Seminar - University of Limerick - Thursday 14th June. Message-ID: Dear All, Following on from our Symposium late last month, the Irish Local Chapter in conjunction with the Big Data Analytics Research Group (BDARG) at University of Limerick and Coillte are very pleased to host a seminar by Manuel Grizonnet (French Space Agency - CNES [1] / Orfeo Toolbox [2]) entitled: "Open Source Processing of Remote Sensing Images with the ORFEO ToolBox: (very) Big Data Science At Scale" The seminar will be held at University of Limerick, Computer Science Building (room: CSG-027) [3] on Thursday 14th of June at 15h00. Manuel Grizonnet is an image processing engineer working with the French Space Agency (CNES) on the development of image processing algorithms and software for the exploitation of Earth observation data. Without doubt, it will be a very interesting talk - hoping to see many of you there! best regards, Daniel. Short abstract: 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. [1]: http://cnes.fr [2]: http://orfeo-toolbox.org [3]: https://www.openstreetmap.org/directions?engine=graphhopper_foot&route=52.67263%2C-8.57009%3B52.67391%2C-8.57530