Feed on
Posts
Comments

Tag Archive 'Auto3Dscapes'

This new video by the 3DGeo group presents the challenges of 3D Earth observation and our advances in 4D change analysis in the frame of the Auto3Dscapes project:

Direct link to the video: https://youtu.be/Fdwq-Cp0mFY
Many thanks to Claudia Denis and David J├Ąger for helping to realize the video! We are also very happy about the fruitful ongoing [...]

Read Full Post »

Always been curious about how we develop our methods for 3D/4D change analysis?
Then check out our new video on high-resolution and high-frequency monitoring of a rock glacier in Austria!
Link to video

LiDAR datasets of the rock glacier provide the basis for the development of 3D and 4D methods for geomorphic change quantification within different research projects [...]

Read Full Post »

How can surface change processes be detected and delineated in large time series of 3D point clouds? A paper on the extraction of 4D objects-by-change has just been published in the ISPRS Journal of Photogrammetry and Remote Sensing. It presents an automatic method for 4D change analysis that includes the temporal domain by using [...]

Read Full Post »

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 [...]

Read Full Post »

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 [...]

Read Full Post »

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 [...]

Read Full Post »

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 [...]

Read Full Post »

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 [...]

Read Full Post »

How does a sandy beach naturally restore after a storm event? Invaluable information on this process is provided by a highly temporal (hourly) time series of 3D point cloud data acquired over several months at the beach of Kijkduin (NL). The permanent LiDAR system is operated by a team of TU Delft researchers in the [...]

Read Full Post »

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 [...]

Read Full Post »

Older Posts »