Posted in Publications on Oct 16th, 2018
Our feature paper “Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks” is now published online.
Recently, convolutional neural networks (CNN) have been intensively investigated for the classification of remote sensing data by extracting invariant and abstract features suitable for classification. In this paper, a novel framework is proposed for the fusion of hyperspectral images [...]
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Posted in Events, Research, Services on Jul 17th, 2018
Another chapter in machine human fusion land use device narrative: new Sentinel 2 osmlanduse.org product results based on OpenStreetMap plus Sentinel 2 data plus Machine Learning were presented at ToulouseSpaceShow 2018 during a European Space Agency (ESA) Research and User Support (RUS) event. Stay tuned: The new product will soon be available for all [...]
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Posted in OSM, Research, VGI Group on Oct 27th, 2015
Recently a new project has been accepted to be funded by the Deutsche Forschungsgemeinschaft (DFG). It deals with an agent-based and quality-aware integration of geo-social network data, thus investigating data integration as a collaborative negotiation process.
Web-based social networks are now a significant social phenomenon. The user-generated data produced through them, including the location-based data, represents [...]
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Posted in Events on Jun 10th, 2015
Our AGILE workshop called RICH-VGI (enRICHment of volunteered geographic information (VGI): Techniques, practices and current state of knowledge) was held on June 9, 2015 in Lisbon as part of the 18th AGILE Conference on Geographic Information Science of the Association of Geographic Information Laboratories in Europe (AGILE) with comparatively a large number of participants.
The workshop [...]
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Posted in OSM, Research, Services on Mar 13th, 2015
Increasing traffic, especially in urban areas, leads to more and more infrastructural bottlenecks and congestion inside transportation networks. The aim is therefore to use existing transport networks as efficiently as possible. Current traffic and incident reports from the Traffic Message Channel (TMC) are an important source of information to provide further services in the context [...]
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Posted in 3D, Lidar Group, Publications, Research on Apr 29th, 2013
The Heidelberg University has published a press release about our work on laser scanning and subsurface geodata fused for 3D reconstruction of karst depressions on Crete.
https://www.youtube.com/watch?v=_9jgPC6zGl8
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