- document
-
Gutierrez, Ivan (author), Lindenbergh, R.C. (author), Watson, Lisa (author), Shelton, Kim (author)Detailed 3D information on vulnerable archaeological sites can document cultural heritage and contribute to its preservation. The Late Bronze Age Mycenaean cemetery of Aidonia, Greece, is a representative case of a vulnerable site. Tomb looting has occurred sporadically since the 1970s, when the Greek government was made aware of the site....journal article 2024
- document
-
Seeber, Franziska (author), Sarnaghi, Ani Khaloian (author), Rais, Andreas (author), van de Kuilen, J.W.G. (author)Mechanical properties of wood such as stiffness and strength vary locally especially due to heterogeneities and anisotropy. Analytical models and numerical simulations of wooden boards are able to represent varying material orientation e.g. with local fiber directions from laser scanning as input for the prediction of strength. Current Finite...journal article 2023
- document
-
Kuschnerus, M. (author), Lindenbergh, R.C. (author), Vos, S.E. (author), Hanssen, R.F. (author)In the view of climate change, understanding and managing effects on coastal areas and adjacent cities is essential. Permanent Laser Scanning (PLS) is a successful technique to not only observe notably sandy coasts incidentally or once every year, but (nearly) continuously over extended periods of time. The collected point cloud observations...journal article 2023
- document
-
Wang, Xufei (author), Yang, Z. (author), Cheng, Xiaojun (author), Stoter, J.E. (author), Xu, Wenbing (author), Wu, Zhenlun (author), Nan, L. (author)Registering point clouds of forest environments is an essential prerequisite for LiDAR applications in precision forestry. State-of-the-art methods for forest point cloud registration require the extraction of individual tree attributes, and they have an efficiency bottleneck when dealing with point clouds of real-world forests with dense...journal article 2023
- document
-
Liu, Zhenyu (author), van Oosterom, P.J.M. (author), Balado Frías, J. (author), Swart, Arjen (author), Beers, Bart (author)The Mobile Laser Scanning (MLS) data inevitably includes dynamic objects because there are always other vehicles (e.g., other cars, motorbikes, bikes, etc.) moving in the area near the MLS data collection vehicle on the road. These dynamic objects need to be removed in advance for many point cloud applications. This paper designs an efficient...journal article 2023
- document
-
Liu, Zhenyu (author), van Oosterom, P.J.M. (author), Balado Frías, J. (author), Swart, Arjen (author), Beers, Bart (author)Vehicle-related ground occlusion is a common problem in MLS data. This study aims to design a detection and reconstruction method of static vehicle-related ground occlusion for MLS data. Ground extraction and vehicle segmentation are performed on the input point cloud data in advance. Then an α-shape boundary based on the prior vehicle...journal article 2022
- document
-
Kuschnerus, M. (author), Lindenbergh, R.C. (author), Lodder, Q.J. (author), Brand, E. (author), Vos, S.E. (author)Coastal areas world wide are highly dynamic areas, subject to continuous deformation processes. Both natural and anthropogenic processes constantly cause changes at various spatial scales. Sandy beaches in the Netherlands fall under a regulation, according to which moving sand is permitted, if the volume change remains below a certain...journal article 2022
- document
-
Kalloe, S.A. (author), Hofland, Bas (author), Antolínez, José A. Á. (author), van Wesenbeeck, B (author)The last years, capacity of vegetation to reduce wave impact is receiving considerable attention. To predict wave attenuation processes within vegetation fields reliable estimates of vegetation parameters are needed. This proves to be difficult for woody vegetation as it consists of complex branch structures, characterized by varying branch...journal article 2022
- document
-
Hulskemper, D. (author), Anders, K. (author), Antolínez, José A. Á. (author), Kuschnerus, M. (author), Höfle, B. (author), Lindenbergh, R.C. (author)The Earth's landscapes are shaped by processes eroding, transporting and depositing material over various timespans and spatial scales. To understand these surface activities and mitigate potential hazards they inflict (e.g., the landward movement of a shoreline), knowledge is needed on the occurrences and impact of these activities. Near...journal article 2022
- document
-
Meinderts, J. P. (author), Lindenbergh, R.C. (author), Van Der Heide, D. H. (author), Amiri Simkooei, A. (author), Truong-Hong, Linh (author)This paper introduces a method to automatically estimate vertical and horizontal clearances of highway viaducts and gantries from Mobile Laser Scanner (MLS) point clouds. It is essential to have accurate data on the vertical and horizontal clearances of overhead infrastructure objects along the highway. Accurate clearance data is used for...journal article 2022
- document
-
Bydłosz, Jarosław (author), Warchoł, Artur (author), Balawejder, Monika (author), Bieda, Agnieszka (author)The 3D cadastre model in Poland has been developed for several years. The summation of these works is the proposal of the model of the Polish cadastre developed using the UML language on the basis of the existing legal regulations, presented in detail in the work (Bydłosz and Bieda, 2020). The aim of the current research was practical...conference paper 2021
- document
-
Widyaningrum, E. (author)A base map provides essential geospatial information for applications such as urban planning, intelligent transportation systems, and disaster management. Buildings and roads are the main ingredients of a base map and are represented by polygons. Unfortunately, manually delineating their boundaries from remote sensing data is time consuming and...doctoral thesis 2021
- document
-
Nurunnabi, A. (author), Teferle, F. N. (author), Li, J. (author), Lindenbergh, R.C. (author), Parvaz, S. (author)Semantic segmentation of point clouds is indispensable for 3D scene understanding. Point clouds have credibility for capturing geometry of objects including shape, size, and orientation. Deep learning (DL) has been recognized as the most successful approach for image semantic segmentation. Applied to point clouds, performance of the many DL...journal article 2021
- document
-
Classification of airborne laser scanning point cloud using point-based convolutional neural networkZhu, Jianfeng (author), Sui, Lichun (author), Zang, Y. (author), Zheng, He (author), Jiang, Wei (author), Zhong, Mianqing (author), Ma, Fei (author)In various applications of airborne laser scanning (ALS), the classification of the point cloud is a basic and key step. It requires assigning category labels to each point, such as ground, building or vegetation. Convolutional neural networks have achieved great success in image classification and semantic segmentation, but they cannot be...journal article 2021
- document
-
Kuschnerus, M. (author), Schröder, D. (author), Lindenbergh, R.C. (author)The advancement of permanently measuring laser scanners has opened up a wide range of new applications, but also led to the need for more advanced approaches on error quantification and correction. Time-dependent and systematic error influences may only become visible in data of quasi-permanent measurements. During a scan experiment in...journal article 2021
- document
-
Balado Frías, J. (author), Soilán, M. (author), Díaz-Vilarino, L. (author), van Oosterom, P.J.M. (author)Traffic signs are one of the most relevant road assets for driving, as the safety of drivers depends to a great extent on their correct location. In this paper two methods are compared for the segmentation of the sign and the pole supporting it. Both methods are based on the morphological opening to identify the sign points, the first one...journal article 2021
- document
-
Truong-Hong, Linh (author), Lindenbergh, R.C. (author), Nguyen, Thu Anh (author)Purpose: Terrestrial laser scanning (TLS) point clouds have been widely used in deformation measurement for structures. However, reliability and accuracy of resulting deformation estimation strongly depends on quality of each step of a workflow, which are not fully addressed. This study aims to give insight error of these steps, and results...journal article 2021
- document
-
Kölle, Michael (author), Laupheimer, Dominik (author), Schmohl, Stefan (author), Haala, Norbert (author), Rottensteiner, Franz (author), Wegner, Jan Dirk (author), Ledoux, H. (author)Automated semantic segmentation and object detection are of great importance in geospatial data analysis. However, supervised machine learning systems such as convolutional neural networks require large corpora of annotated training data. Especially in the geospatial domain, such datasets are quite scarce. Within this paper, we aim to alleviate...journal article 2021
- document
-
Balado Frías, J. (author), Arias, Pedro (author), Lorenzo, Henrique (author), Meijide-Rodríguez, Adrián (author)Mobile Laser Scanning (MLS) systems have proven their usefulness in the rapid and accurate acquisition of the urban environment. From the generated point clouds, street furniture can be extracted and classified without manual intervention. However, this process of acquisition and classification is not error-free, caused mainly by disturbances...journal article 2021
- document
-
Zang, Y. (author), Meng, Fancong (author), Lindenbergh, R.C. (author), Truong-Hong, Linh (author), Li, Bijun (author)Mobile laser scanning (MLS) systems are often used to efficiently acquire reference data covering a large-scale scene. The terrestrial laser scanner (TLS) can easily collect high point density data of local scene. Localization of static TLS scans in mobile mapping point clouds can afford detailed geographic information for many specific tasks...journal article 2021