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Tag Archive 'IWR'

This week, the 3DGeo participated in the ISPRS Geospatial Week 2019 with two presentations among the sessions of the Laser Scanning Workshop with many interesting talks and poster.
Presentations were given by Ashutosh Kumar in the Machine Learning Session and Katharina Anders in the Change Detection Session.
Highlight: The work by Ashutosh Kumar on feature relevance in [...]

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Can you imagine how much sand is being moved on the beach in the course of a week? Did you ever observe truckloads of sand being transported on the beach in the absence of storms and bulldozers? It is hardly possible to estimate to the naked eye, but can be quantified with permanent terrestrial laser [...]

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A paper investigating the relevance of (pre-calculated) features for 3D point cloud classification using deep learning was just published in the ISPRS Annals of Photogrammetry and Remote Sensing.
The study presents a non-end-to-end deep learning classifier for 3D point clouds using multiple sets of input features and compares it with an implementation of the state-of-the-art [...]

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From 01-04 April 2019, the 3DGeo and FCGL research groups organized STAP19, a compact course and workshop on Spatial and Temporal Analysis of Geographic Phenomena at the Interdisciplinary Center for Scientific Computing (IWR, Heidelberg University).

In a mix of lectures, invited talks and hands-on sessions, the participants learned about processing and analysis of 3D geodata, particularly [...]

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New Highlights at STAP19

Three invited speakers are now joining the compact course and workshop STAP19 on Spatial and Temporal Analysis of Geographic Phenomena organized by the 3DGeo and FCGL at IWR in Heidelberg.
Dr. Gottfried Mandlburger (Institute for Photogrammetry, University of Stuttgart) will give a talk on methods of feature and information extraction from geographic 3D point clouds. He [...]

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A series of video tutorials of GigaMesh has recently become available on YouTube. GigaMesh is a software framework for displaying, processing and visualizing large meshes of 3D spatial data representing 2D surfaces.
The most recent tutorial by Paul Bayer and Hubert Mara presents a rapid method of hillshading for a geospatial dataset. The video shows the [...]

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From 01-04 April 2019, the 3DGeo and FCGL research groups are organizing a compact course and workshop on Spatial and Temporal Analysis of Geographic Phenomena (STAP19) at the Interdisciplinary Center for Scientific Computing (IWR, Heidelberg University).

The course will teach participants state-of-the-art methods of 3D spatial data processing and analysis with a focus on spatial and [...]

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On Wednesday, Roderik Lindenbergh from TU Delft (NL) gave an exciting talk on robust geometry extraction in large spatial point clouds in the frame of the IWR colloquium at the Interdisciplinary Center for Scientific Computing. With focus on robust and novel methods of geoinformation extraction from these special datasets, the audience was taken on a [...]

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Today Two free GIS Events @Heidelberg

Today you have the choice to select between two interesting GIS related events @Heidelberg with contributions by GIScience Group Heidelberg University:

Geobasierte Modelle. 14. Modellierungstag Rhein-Neckar am 1. Februar 2018 (in German, @Mathematikon HD, 14.00-18.00)

European Citizen Science Association Webinar on #citizenscience for monitoring urban landscape dynamics (in English, Online-Webinar, 16:30-17:30)

It’s your choice. Enjoy!

http://osmlanduse.org
http://ohsome.org

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1. Februar 2018 - 14:00 Uhr
Mathematikon
Im Neuenheimer Feld 205
Konferenzraum 5. Etage
69120 Heidelberg
Der Modellierungstag Rhein-Neckar eröffnet Praktikern und Wissenschaftlern die Gelegenheit, Innovationen zur Diskussion zu stellen, Gemeinsamkeiten und Unterschiede der verwendeten Modellierungsansätze herauszuarbeiten und den gegenseitigen Erfahrungsaustausch zu pflegen.
Weitere Informationen finden Sie hier: http://www.modellierungstag.de/

Programm

14:00

Michael Winckler (IWR, Universität Heidelberg)

Begrüßung & Einführung

14:15

Bernhard Höfle (Geographisches [...]

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