Tag: ISPRS
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New paper on the automatic characterization of surface activities from 4D point clouds
An approach for automatic characterization of surface activities from large 4D point clouds is presented in a new paper by Daan Hulskemper et al. in collaboration between the 3DGeo research group and the departments of Geoscience and Remote Sensing and Coastal Engineering at TU Delft. Hulskemper, D., Anders, K., Antolínez, J. A. Á., Kuschnerus, M.,…
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Last chance for application: Innsbruck Summer School of Alpine Research
Registration for our Innsbruck Summer School of Alpine Research 2022 has been extended until 28 February 2022. If you want to learn innovative practical and methodological skills to characterize complex terrain and object features using close-range and remote sensing techniques – use this chance to apply now! All details regarding learning objectives, keynote speakers, contents…
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Innsbruck Summer School of Alpine Research 2022 – Registration now open
Registration for our Innsbruck Summer School of Alpine Research 2022 is now open (until 15 January 2022). If you want to learn innovative practical and methodological skills to characterize complex terrain and object features using close-range and remote sensing techniques – apply now! The Summer School in the Ötztal Alps in Austria will be the…
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Research and Career Network: Close-range Sensing Techniques in Alpine Terrain – Alumni Event
A virtual alumni event of the Innsbruck Summer School of Alpine Research will take place on Tuesday, 7th December, 15:00-17:00. Close- and remote sensing techniques turned to essential methods for mapping and quantifying processes in mountain environments. Many different sensor systems, platforms and analysis approaches are available for observing and monitoring dynamic patterns and extracting…
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Time Series-Based Coastal Surface Change Analysis @ISPRS2021
Our work on “Time Series-Based Coastal Surface Change Analysis using Hourly Terrestrial Laser Scans” was featured with a live presentation at this year’s digital event of the ISPRS Congress. The presentation by Katharina Anders was further made available as pre-recorded video, which you can now watch on the 3DGeo YouTube channel: The presented work is…
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Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes
When and where do changes occur in dynamic natural landscapes? A new method has been published that enables the automatic extraction of surface changes from entire time series of 3D point clouds. The developed method of spatiotemporal segmentation extracts changes regarding their surface change history, which makes it particularly useful for natural scenes that are…
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Training in Innovative Technologies for Close-range Sensing in Alpine Terrain – 3rd Edition
The 3rd edition of the international summer school “Close-range Sensing Techniques in Alpine terrain” took place in Obergurgl, Austria, in June 2019. A group of 40 young researchers (mainly PhD students) participated to learn about various sensors, processing techniques, and analysis methods for different topics in high-mountain research. A recently published article reports on results…
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4D objects-by-change: Spatiotemporal segmentation of geomorphic surface change from LiDAR time series
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 the…
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ISSAR19 – Third Innsbruck Summer School of Alpine Research
Close-range sensing techniques in Alpine terrain have been taught in the frame of a bi-annual ISPRS summer school since 2015. This week, a group of 40 young researchers (mainly PhD students) is participating in the third edition of the summer school to learn about various sensors, processing techniques, and analysis methods for different topics in…
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3DGeo at the Geospatial Week 2019
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…
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Paper on High-Frequency 3D Geomorphic Observation using Hourly LiDAR Time Series
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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Paper on Analysis of Feature Relevance in Deep Learning for 3D Point Cloud Classification
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…