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Truong-Hong, Linh (author), Lindenbergh, R.C. (author), Vermeij, M. J. (author)Current mobile systems are capable of efficiently acquiring dense urban point clouds. Still, operational use of such data is hampered by the lack of efficient object extraction methodology. Notably methodology is lacking for automatically extracting objects that do not belong to the road furniture like street signs and light poles but do...journal article 2022
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author)Three-dimensional (3D) geometric bridge models play an important role in bridge inspection, assessment, and management. Laser scanning nowadays offers a cost-efficient method to capture dense, accurate 3D topographic data of surfaces of the bridge. However, given the typical complexity of bridges, current workflows using commercial software...journal article 2022
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Vos, S.E. (author), Anders, Katharina (author), Kuschnerus, M. (author), Lindenbergh, R.C. (author), Höfle, Bernhard (author), Aarninkhof, S.G.J. (author), de Vries, S. (author)Sandy coasts form the interface between land and sea and their morphologies are highly dynamic. A combination of human and natural forcing results in morphologic changes affecting both nature values and coastal safety. Terrestrial laser scanning (TLS) is a technique enabling near-continuous monitoring of the changing morphology of a sandy...journal article 2022
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di Biase, V. (author), Kuschnerus, M. (author), Lindenbergh, R.C. (author)In recent years, our knowledge of coastal environments has been enriched by remotely sensed data. In this research, we co-analyse two sensor systems: Terrestrial Laser Scanning (TLS) and satellite-based Synthetic Aperture Radar (SAR). To successfully extract information from a combination of different sensors systems, it should be understood how...journal article 2022
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Alfieri, S.M. (author), Foroughnia, Fatemeh (author), Pulvirulenti, Beatrice (author), Lindenbergh, R.C. (author), Menenti, M. (author)A protected natural area in the Emilia Romagna region, Northern Italy is threatened by hydro-meteorological hazards, particularly sea storms. In the last 50 years the northern part of the Bellocchio Park (Sacca Bellocchio II Nature Reserve, Site code EUAPP0072 - Ferrara, Italy) was interested by an intensive urbanization (Lido di Spina) with the...abstract 2021
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author), Woudenberg, Pieter (author), Gard, W.F. (author), van de Kuilen, J.W.G. (author)Churches are part of heritage structures that take an important role in Europe ́s cultural identity. As such, these structures must be protected to prevent catastrophic collapse and any damage must be reported timely to establish planning to maintenance and restoration. This can be achievable when the churches are monitored periodically with...conference paper 2021
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Zieher, Thomas (author), Pfeiffer, Jan (author), van Natijne, A.L. (author), Lindenbergh, R.C. (author)Continuous landslide monitoring is a crucial task for the management of natural hazards for identifying suitable mitigation measures, including nature-based solutions. In the present study, three monitoring techniques including (i) an automated tracking total station (ATTS), (ii) multi-temporal terrestrial laser scanning (TLS) and (iii) space...conference paper 2021
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Alfieri, S.M. (author), Foroughnia, Fatemeh (author), van Natijne, A.L. (author), Mousivand, A. (author), Lindenbergh, R.C. (author), Porcu, Federico (author), Zieher, Thomas (author), Pulvirulenti, Beatrice (author), Yang, Jingxin (author), Menenti, M. (author)The ambition of H2020 OPERANDUM project is to develop and document Nature Based Solutions (NBS) to mitigate risks associated with hydro-meteorological (HM) hazards. NBS mitigate risks by reducing the vulnerability of a particular system. The aim of this work is to demonstrate the use of multisource remote sensing data in documenting the impact...conference paper 2021
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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
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Kuschnerus, M. (author), Lindenbergh, R.C. (author), Vos, S.E. (author)Sandy coasts are constantly changing environments governed by complex, interacting processes. Permanent laser scanning is a promising technique to monitor such coastal areas and to support analysis of geomorphological deformation processes. This novel technique delivers 3-D representations of the coast at hourly temporal and centimetre...journal article 2021
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Truong-Hong, Linh (author), Nguyen, N. (author), Lindenbergh, R.C. (author), Fisk, P. (author), Huynh, T. (author)This paper proposes a methodology to automatically extract components of an oil storage tank from terrestrial laser scanning (TLS) point clouds, and subsequently to create a three-dimensional (3D) solid model of the tank for numerical simulation. The proposed method is integrated into a smart analysis layer of a digital twin platform...journal article 2021
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An efficient deep learning approach for ground point filtering in aerial laser scanning point cloudsNurunnabi, A. (author), Teferle, F. N. (author), Li, J. (author), Lindenbergh, R.C. (author), Hunegnaw, A. (author)Ground surface extraction is one of the classic tasks in airborne laser scanning (ALS) point cloud processing that is used for three-dimensional (3D) city modelling, infrastructure health monitoring, and disaster management. Many methods have been developed over the last three decades. Recently, Deep Learning (DL) has become the most dominant...journal article 2021
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Maffei, C. (author), Lindenbergh, R.C. (author), Menenti, M. (author)Forest fires preparedness strategies require the assessment of spatial and temporal variability of fire danger. While several tools have been developed to predict fire occurrence and behaviour from weather data, it is acknowledged that fire danger models may benefit from direct assessment of live fuel condition, as allowed by Earth Observation...journal article 2021
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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
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Bai, Q. (author), Lindenbergh, R.C. (author), Vijverberg, J. (author), Guelen, J. A.P. (author)Functional classification of the road is important to the construction of sustainable transport systems and proper design of facilities. Mobile laser scanning (MLS) point clouds provide accurate and dense 3D measurements of road scenes, while their massive data volume and lack of structure also bring difficulties in processing. 3D point cloud...journal article 2021
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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
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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
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Anders, K.P. (author), Winiwarter, L. (author), Mara, H. (author), Lindenbergh, R.C. (author), Vos, S.E. (author), Höfle, B. (author)Near-continuously acquired terrestrial laser scanning (TLS) data contains valuable information on natural surface dynamics. An important step in geographic analyses is to detect different types of changes that can be observed in a scene. For this, spatiotemporal segmentation is a time series-based method of surface change analysis that...journal article 2021
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Widyaningrum, E. (author), Bai, Q. (author), Fajari, Marda K. (author), Lindenbergh, R.C. (author)Classification of aerial point clouds with high accuracy is significant for many geographical applications, but not trivial as the data are massive and unstructured. In recent years, deep learning for 3D point cloud classification has been actively developed and applied, but notably for indoor scenes. In this study, we implement the point-wise...journal article 2021
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Truong-Hong, Linh (author), Lindenbergh, R.C. (author)A three-dimensional (3D) geometric model of a bridge plays an important role in inspection, assessment and management of the bridge. As most bridges were built after the second world war, 3D bridge models are rarely available. A recent development in laser scanning offers a cost-efficient method to capture dense, accurate 3D topographic data...book chapter 2021