M. Gerke
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View article: egenioussBench: A New Dataset for Geospatial Visual Localisation
egenioussBench: A New Dataset for Geospatial Visual Localisation Open
We present egenioussBench, a visual localisation benchmark built on geospatial reference data: a city-scale airborne 3D mesh and a CityGML LoD2 model. This pairing reflects deployable mapping assets and supports true scalability beyond tra…
View article: Integrating remote sensing and deep learning for mapping urban housing wealth patterns
Integrating remote sensing and deep learning for mapping urban housing wealth patterns Open
Disaggregated data on housing and household economic conditions, particularly in developing countries, are often inaccessible to urban planners and local users, and conducting independent in-person surveys is prohibitively expensive. This …
View article: Very high resolution bridge deformation monitoring using UAV-based photogrammetry
Very high resolution bridge deformation monitoring using UAV-based photogrammetry Open
Accurate and efficient structural health monitoring of infrastructure objects such as bridges is a vital task, as many existing constructions have already reached or are approaching their planned service life. In this contribution, we addr…
View article: Geometric Inspection in 3D Concrete Manufacturing: Comparison of Data Capturing Techniques
Geometric Inspection in 3D Concrete Manufacturing: Comparison of Data Capturing Techniques Open
Geometric quality inspection is an essential process in digital construction that provides insight into the conformity of the fabricated components to their designed models. It is even more important and challenging in modern 3D concrete p…
View article: Multi-temporal crack segmentation in concrete structures using deep learning approaches
Multi-temporal crack segmentation in concrete structures using deep learning approaches Open
Cracks are among the earliest indicators of deterioration in concrete structures. Early automatic detection of these cracks can significantly extend the lifespan of critical infrastructures, such as bridges, buildings, and tunnels, while s…
View article: Perspective-n-Point in Practice: Performance, Robustness, and Accuracy for Mesh-Based Localisation
Perspective-n-Point in Practice: Performance, Robustness, and Accuracy for Mesh-Based Localisation Open
Visual localisation, the task of determining camera poses from images, has matured significantly, offering various solutions for handheld device localisation. This paper investigates the Perspective-n-Point (PnP) problem, a crucial step in…
View article: Land use/Land cover mapping to monitor dead tree areas using multi-modal, multi-temporal Remote Sensing imagery and a deep learning model
Land use/Land cover mapping to monitor dead tree areas using multi-modal, multi-temporal Remote Sensing imagery and a deep learning model Open
Land Use/Land Cover (LULC) monitoring is essential for understanding Earth's surface dynamics, particularly in assessing the impact of vegetation and land changes on hydrological systems, vulnerability to extreme climatic events, and fores…
View article: Experimental studies on multi‐scale data‐driven methods within the framework of structural health monitoring
Experimental studies on multi‐scale data‐driven methods within the framework of structural health monitoring Open
The German Research Foundation has established the priority program SPP 100+. Its subject is monitoring bridge structures in civil engineering. The data‐driven methods cluster deals with the use of measurements and their special global and…
View article: Determination of present-day crustal deformation along the Kenyan rift system using InSAR
Determination of present-day crustal deformation along the Kenyan rift system using InSAR Open
The Kenyan rift system is prone to deformation due to various geological processes and human activities, such as overexploitation of groundwater and exploitation of geothermal energy. Crustal deformation monitoring is essential for underst…
View article: Visual localization in urban environments employing 3D city models
Visual localization in urban environments employing 3D city models Open
Reliable pose information is essential for many applications, such as for navigation or surveying tasks. Though GNSS is a well-established technique to retrieve that information, it often fails in urban environments due to signal occlusion…
View article: Investigating Visual Localization Using Geospatial Meshes
Investigating Visual Localization Using Geospatial Meshes Open
This paper investigates the use of geospatial mesh data for visual localization, focusing on city-scale aerial meshes as map representations for locating ground-level query images captured by smartphones. Visual localization, essential for…
View article: Multi-temporal crack segmentation in concrete structures using deep learning approaches
Multi-temporal crack segmentation in concrete structures using deep learning approaches Open
Cracks are among the earliest indicators of deterioration in concrete structures. Early automatic detection of these cracks can significantly extend the lifespan of critical infrastructures, such as bridges, buildings, and tunnels, while s…
View article: Very High-Resolution Bridge Deformation Monitoring Using UAV-based Photogrammetry
Very High-Resolution Bridge Deformation Monitoring Using UAV-based Photogrammetry Open
Accurate and efficient structural health monitoring of infrastructure objects such as bridges is a vital task, as many existing constructions have already reached or are approaching their planned service life. In this contribution, we addr…
View article: On-line and in-line quality assessment across all scale levels of 3D concrete printing
On-line and in-line quality assessment across all scale levels of 3D concrete printing Open
International audience
View article: Local Evaluation of Large-scale Remote Sensing Machine Learning-generated Building and Road Dataset: The Case of Rwanda
Local Evaluation of Large-scale Remote Sensing Machine Learning-generated Building and Road Dataset: The Case of Rwanda Open
Accurate and up-to-date building and road data are crucial for informed spatial planning. In developing regions in particular, major challenges arise due to the limited availability of these data, primarily as a result of the inherent inef…
View article: Detecting soil freeze-thaw dynamics with C-band SAR over permafrost in Northern Sweden and seasonally frozen grounds in the Tibetan Plateau, China
Detecting soil freeze-thaw dynamics with C-band SAR over permafrost in Northern Sweden and seasonally frozen grounds in the Tibetan Plateau, China Open
The soil freeze-thaw (FT) state plays a significant role in cold ecosystems by influencing hydrology, geomorphology, ecology, thermodynamics, and soil chemistry. As climate change alters the frequency and timing of FT events, regions, such…
View article: Combining UAV-based photogrammetry and structured light scanning to support the structural health monitoring of concrete structures
Combining UAV-based photogrammetry and structured light scanning to support the structural health monitoring of concrete structures Open
The project „Optical 3D Bridge Inspection”, which is part of DFG’s priority program “100+”, aims to capture surface geometry and damages of prestressed concrete bridges with high-resolution optical tools to assist the structural health mon…
View article: Soil moisture retrieval at high spatial resolution over alpine ecosystems on Nagqu-Tibetan plateau: A comparative study on semiempirical and machine learning approaches
Soil moisture retrieval at high spatial resolution over alpine ecosystems on Nagqu-Tibetan plateau: A comparative study on semiempirical and machine learning approaches Open
Soil moisture (SM) is an essential climate variable that directly and indirectly affects vegetation growth and survival through land‒atmosphere interactions. Alpine vegetation on the Tibetan Plateau is part of a unique ecosystem that is vu…
View article: Building third generation land tools: Its4land, smart sketchmaps, UAVs, automatic feature extraction, and the GeoCloud
Building third generation land tools: Its4land, smart sketchmaps, UAVs, automatic feature extraction, and the GeoCloud Open
A third generation of land tools is emerging: 'its4land' is part of the movement. The initiative aims to create seven new tools that further support faster, cheaper, easier, and more responsible land rights mapping. The tools are inspired …
View article: Automatic non-destructive UAV-based structural health monitoring of steel container cranes
Automatic non-destructive UAV-based structural health monitoring of steel container cranes Open
Container cranes are of key importance for maritime cargo transportation. The uninterrupted and all-day operation of these container cranes, which directly affects the efficiency of the port, necessitates the continuous inspection of these…
View article: FILAMENT EXTRACTION IN 3D PRINTING OF SHOTCRETE WALLS FROM TERRESTRIAL LASER SCANNER DATA
FILAMENT EXTRACTION IN 3D PRINTING OF SHOTCRETE WALLS FROM TERRESTRIAL LASER SCANNER DATA Open
This paper presents a method for filament extraction as a step in Shotcrete 3D printing (SC3DP) for quality control using Terrestrial Laser Scanning (TLS) after the printing process. The proposed approach involves comparing a Point Cloud (…
View article: ON THE ASSESSMENT OF INSTANCE SEGMENTATION FOR THE AUTOMATIC DETECTION OF SPECIFIC CONSTRUCTIONS FROM VERY HIGH RESOLUTION AIRBORNE IMAGERY
ON THE ASSESSMENT OF INSTANCE SEGMENTATION FOR THE AUTOMATIC DETECTION OF SPECIFIC CONSTRUCTIONS FROM VERY HIGH RESOLUTION AIRBORNE IMAGERY Open
During the High Modernism period spanning from approximately 1914 to 1970, the manufacturing of steel-constructed system halls witnessed a significant surge to accommodate the growing demand across various sectors such as industry, commerc…
View article: Current and potential use of augmented reality in (geographic) citizen science projects: A survey
Current and potential use of augmented reality in (geographic) citizen science projects: A survey Open
Augmented Reality (AR) offers new opportunities for Citizen Science (CS) projects regarding data visualization, data collection, and training of participants. Since limited research on the usage of AR in CS projects exists, an online surve…
View article: Impact of Drone Regulations on Drone Use in Geospatial Applications and Research: Focus on Visual Range Conditions, Geofencing and Privacy Considerations
Impact of Drone Regulations on Drone Use in Geospatial Applications and Research: Focus on Visual Range Conditions, Geofencing and Privacy Considerations Open
The European Aviation Safety Agency (EASA) laid down the new EU drone regulations in December 2020, which are seen as a development step towards enabling a reliable legal framework for drone operation and use. At the same time, it is still…
View article: Automatic Detection of Specific Constructions on a Large Scale Using Deep Learning in Very High Resolution Airborne Imagery
Automatic Detection of Specific Constructions on a Large Scale Using Deep Learning in Very High Resolution Airborne Imagery Open
In the High Modernism period, from around 1914 to 1970, many system halls in steel construction were manufactured to meet the increasing demand in industry, commerce, and agriculture, among other areas. However, these types of buildings ha…
View article: Comparison of land surface temperatures from Landsat with soil freeze/thaw measurements in permafrost peatlands
Comparison of land surface temperatures from Landsat with soil freeze/thaw measurements in permafrost peatlands Open
Permafrost is an important component of sub-Arctic environments and is extremely vulnerable to the impact of climate change. During the last decades, permafrost regions in northern high latitudes have been exposed to greater temperature ch…
View article: Determination of anthropologically induced deformation along the Kenyan Rift system using Multitemporal InSAR analysis with Sentinel-1 data.
Determination of anthropologically induced deformation along the Kenyan Rift system using Multitemporal InSAR analysis with Sentinel-1 data. Open
The Kenyan Rift system hosts various forms of land use, including residential, commercial, and agricultural. In addition, the geology of the Kenyan Rift, the geodynamic setting of the quaternary volcanoes along the rift axis, and the high …
View article: A Review on Viewpoints and Path Planning for UAV-Based 3-D Reconstruction
A Review on Viewpoints and Path Planning for UAV-Based 3-D Reconstruction Open
Unmanned aerial vehicles (UAVs) are widely used platforms to carry data capturing sensors for various applications. The reason for this success can be found in many aspects: the high maneuverability of the UAVs, the capability of performin…