Tag: 3D
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Classification of 3D ALS Point Clouds using End-To-End Deep Learning
In a new publication, we show how deep neural networks can be used in an end-to-end manner for the classification of 3D point clouds from airborne laser scan data. The research, based on the award-winning diploma thesis of Lukas Winiwarter at TU Wien, has now been published in “PFG – Photogrammetrie, Fernerkundung, Geoinformation“, the Journal…
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Follow-up BMBF/MOST project “ER3DS” meeting at National Cheng Kung University in Taiwan
Within the BMBF-funded project ER3DS (Emission Reduction in Smart Cities Using 3D Spatial Sensing and Analysis) a second workshop and exchange visit was organized and hosted by the National Cheng Kung University (NCKU) in Tainan, Taiwan, from 16 September to 19 September 2019. The first day included two lectures at the Dept. of Geomatics (Prof.…
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High-frequency and high-resolution monitoring of rock glacier dynamics
How do the dynamics of surface change on a rock glacier look like over an entire summer season? And how is rockfall activity and storage and talus supply from the headwall of a rock glacier related to patterns of its movement? These and other questions are currently investigated within the AHK-4D and Geomorph4D projects of…
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Successfull PhD defence by Michael Auer on 3D WebGIS
Last month Dr. Michael Auer successfully defended his PhD on Advancing 3D WebGIS – browser-based Methods for Visualization and Analysis and their Integration in Virtual Research Environments in the Context of Cultural Heritage . We congratulate cordially! We are happy to have Michael with us as in the Big Spatial Data Analytics team of HeiGIT…
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Multi‐temporal 3D point cloud‐based quantification and analysis of geomorphological activity at an alpine rock glacier using airborne and terrestrial LiDAR
Change analysis of rock glaciers is crucial to analyzing the adaptation of surface and subsurface processes to changing environmental conditions at different timescales because rock glaciers are considered as potentially unstable slopes and solid water reservoirs. To quantify surface change in complex surface topographies with varying surface orientation and roughness, a full three‐dimensional (3D) change…
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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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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…
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Landcover monitoring with emphasis on vegetation under the climatic change pressure using multitemporal and multisource remote sensing data fusion
The new project on landcover monitoring with emphasis on vegetation under the climatic change pressure using multitemporal and multisource remote sensing data is a collaboration project funded in the framework of 4EU+ Flagship 4: Biodiversity and Sustainable Developement with Markéta Potůčková (Department of Applied Geoinformatics and Cartography, Charles University Prague) as PI of the project.…
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Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art
The recent, sharp increase in the availability of data captured by different sensors, combined with their considerable heterogeneity, poses a serious challenge for the effective and efficient processing of remotely sensed data. Such an increase in remote sensing and ancillary data sets, however, opens up the possibility of utilizing multimodal data sets in a joint…