. . . "Apply the learned IBM techniques using the proposed commercial software (pix4D) for UAV data."@en . . "Apply the learned IBM techniques using the proposed commercial software (pix4D) for UAV data."@en . . . "Apply three semantic segmentation algorithms for UAV imagery."@en . . "Apply three semantic segmentation algorithms for UAV imagery."@en . . . "Design two state-of-the-art object detection algorithms for processing given UAV imagery."@en . . "Design two state-of-the-art object detection algorithms for processing given UAV imagery."@en . . . "Describe the typical UAV data acquisition procedure and data processing for 3D geo-information purposes, understanding the technical decisions usually adopted in real practical cases."@en . . "Describe the typical UAV data acquisition procedure and data processing for 3D geo-information purposes, understanding the technical decisions usually adopted in real practical cases."@en . . . "Identify the major pros and cons of the use of UAVs upon the gained experience and relate them with the five different domains."@en . . "Identify the major pros and cons of the use of UAVs upon the gained experience and relate them with the five different domains."@en . . . "Analyse and evaluate the geometric quality of the previously generated data using the two available tools (GNUplot and CloudCompare)."@en . . "Analyse and evaluate the geometric quality of the previously generated data using the two available tools (GNUplot and CloudCompare)."@en . . "https://ltb.itc.utwente.nl/page/792/concept/152729" . . "Object detection"@en . . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152738" . . "Object tracking"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152752" . . "3D reconstruction"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152790" . . "Contour detection"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152838" . . "Semantic segmentation"@en . . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152902" . . "Deep learning"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "The Master’s Programme Geo-Information Science and Earth Observation (M-GEO) is a two-year academic curriculum at MSc level, taught fully in English, dedicated to understanding the earth’s systems from a geographic and spatial perspective. The field of Geo-information Science and Earth Observation has, in recent years, witnessed fast scientific and technological developments. As a result, geographic information has become a vital asset to society and part of our daily life. The ubiquitous production and availability of spatial data require cloud computing and new technology to turn the increasing volume of ‘big data’ to good use. The growing range of global challenges, from climate change and resource depletion to environmental pollution and pandemic diseases, that our society and in particular the more vulnerable populations on our planet are facing, increases the demand for academic professionals who have the ability, attitudes and skills to design solutions that are sustainable, transdisciplinary and innovative with positive societal impacts. Our education focuses on addressing these global problems by means of advanced geo-information and earth observation applications."@en . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . . . "CloudCompare"@en . . . "Matlab"@en . . . "Pix4D"@en . . . "Course"@en . "201900061" . "EOS_0007" . "5"^^ . "140"^^ . "10"^^ . "2022-11-10T23:00:00Z"^^ . "f2f" . "hybrid" . "The course will be composed of lectures (with the use of flipped classrooms, or pre-recoreded videos when necessary), practical, assignments and/or fieldwork for UAV image acquisitions. The student will learn how to correctly process the acquired images receiving both the theoretical and practical knowledge and gaining in self-confidence and independence during the course."@en . "Specialization: GeoinformaticsStream course: Image AnalysisNote that we offer two UAV courses and that students from other specialisations/outside ITC should choose the Earth Observation with UAVs course,Specialization: Geoinformatics\nStream course: Image Analysis\n\n \n\nNote that we offer two UAV courses and that students from other specialisations/outside ITC should choose the Earth Observation with UAVs course in principle.\n\nIn case of any doubt, the students can contact course coordinator for clarification. "@en . "4"^^ . "1" . "1A " . "2022-09-04T22:00:00Z"^^ . "Unmanned Aerial Vehicles (UAVs) are becoming a valid alternative to traditional Geomatics acquisition systems, as they close the gap between higher resolution terrestrial images and the lower resolution airborne and satellite data. UAVs can be remotely controlled helicopters, fixed wind airplanes or kites. This course deals with algorithms and techniques for scene information extraction from images. Both geometric (i.e. 3D reconstruction) and semantic (i.e. 2D image understanding) aspects are described in the course.\n\nIn this course the 2D and 3D scene analysis will be explained, with focus on the use of data acquired by UAVs. The course is composed of two main parts. In the first part, the participants will focus on 2D scene analysis (semantic segmentation, object detection and tracking, modern deep learning), while during the second part, the participants will gain hands-on experience on the use of UAVs. The second part of the course will be given together with the course on “Earth Observation with UAVs”.\n\nAt the end of the course the participants will submit the output of an assignment on the dealt topics, the quality of which will contribute to the course mark."@en . "Unmanned Aerial Vehicles for Scene Understanding"@en . "Scene Understanding with UAV's"@en . "Scene Understanding w