Category: 3D
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AGEO Award 2019 at AGIT in Salzburg: Third place for Lukas Winiwarter
3DGeo group member Lukas Winiwarter was awarded the third place of this year’s AGEO award at the AGIT2019 in Salzburg for his diploma thesis on “Classification of 3D Point Clouds using Deep Neural Networks”. It was carried out at TU Wien under the supervision of Dr. Gottfried Mandlburger and Prof. Dr. Norbert Pfeifer, and has…
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Colloquium on image processing for geomorphological and hydrological monitoring
We cordially invite everybody interested to our next open GIScience colloquium talk! The speaker is Dr. Anette Eltner TU Dresden, Institute of Photogrammetry und Remote Sensing When: Monday 01.07.2019, 2:15 pm Where: INF 348, room 015 (Institute of Geography, Heidelberg University) Image processing for geomorphological and hydrological monitoring The potential of images to answer research questions…
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Kick-off field campaign for AHK-4D project
From 22 – 25 June, the first field visit within the project AHK-4D – High-resolution and high-frequency monitoring of the rock glacier Äußeres Hochebenkar (AHK) in Austria took place in the Austrian Alps. The aim of this project is to develop a methodology to quantify the magnitudes and frequencies of individual surface change processes of…
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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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Comparison of Three Algorithms for the Evaluation of TanDEM-X Data for Gully Detection in Krumhuk Farm (Namibia)
Namibia is a dry and low populated country highly dependent on agriculture, with many areas experiencing land degradation accelerated by climate change. One of the most obvious and damaging manifestations of these degradation processes are gullies, which lead to great economic losses while accelerating desertification. The development of standardized methods to detect and monitor the…
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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…
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SYSSIFOSS project start and first test scans
On May 1st, the SYSSIFOSS project has started and first test scans have already been conducted in the forest. Experciences from these initial testings serve as a basis for many field campaigns this summer which aim at the acquisition of high-density point clouds of 140 single trees with a RIEGL VZ-400 terrestrial laser scanner. Moreover,…
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First test flights with brand-new UAV-borne LiDAR system
The 3DGeo group is currently testing their new UAV-borne LiDAR (ULS) system. The integrated system consists of a DJI Matrice 600 copter, a RIEGL miniVUX-1 UAV laser scanner and is complemented by an inertial measurement unit and a realtime kinematics GNSS. Combining the different components in one system allows for high-accuracy (cm) acquisition of 3D…
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PhD Colloquium “Deep Learning in Photogrammetry, Remote Sensing and Geospatial Information Processing”
On 14th and 15th May, our 3DGeo group members Bernhard Höfle and Lukas Winiwarter were co-organizing and participating in the 4th colloquium for PhD students working on the topic of Deep Learning and its applications in Photogrammetry, Remote Sensing and Geoinformation Processing of the Deutsche Geodätische Kommission (DGK) and the Deutsche Gesellschaft für Photogrammetrie und…
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Usage of HELIOS for various applications
The Heidelberg LiDAR Operations Simulator (HELIOS) is an open source laser scanning simulation framework for interactive simulation and visualization of terrestrial, mobile and airborne laser scanning surveys. It can be flexibly used for teaching and training of laser scanning, development of new scanner hardware and scanning methods, or generation of artificial scan data sets to…