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Hua Liu, Xiaoming Zhang, Yuancheng Xu and Xiaoyong Chen
The degree of automation and efficiency are among the most important factors that influence the availability of Terrestrial light detection and ranging (LiDAR) Scanning (TLS) registration algorithms. This paper proposes an Ortho Projected Feature Images ...
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Chengda Lin, Fangzheng Hu, Junwen Peng, Jing Wang and Ruifang Zhai
Three-dimensional (3D) laser point cloud technology is an important research method in the field of agricultural remote sensing research. The collection and processing technology of terrestrial light detection and ranging (LiDAR) point cloud of crops has...
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Xukai Zhang, Xuelian Meng, Chunyan Li, Nan Shang, Jiaze Wang, Yaping Xu, Tao Wu and Cliff Mugnier
Terrestrial Light Detection And Ranging (LiDAR), also referred to as terrestrial laser scanning (TLS), has gained increasing popularity in terms of providing highly detailed micro-topography with millimetric measurement precision and accuracy. However, a...
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Matthew S. O?Banion, Michael J. Olsen, Jeff P. Hollenbeck and William C. Wright
Extensive gaps in terrestrial laser scanning (TLS) point cloud data can primarily be classified into two categories: occlusions and dropouts. These gaps adversely affect derived products such as 3D surface models and digital elevation models (DEMs), requ...
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Milan Koren, Milan Huncaga, Juliana Chudá, Martin Mokro? and Peter Surový
Circle-fitting methods are commonly used to estimate diameter at breast height (DBH) of trees from horizontal cross-section of point clouds. In this paper, we addressed the problem of cross-section thickness optimization regarding DBH estimation bias and...
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Pawel Burdziakowski and Pawel Tysiac
The paper addresses the fields of combined close-range photogrammetry and terrestrial laser scanning in the light of ship modelling. The authors pointed out precision and measurement accuracy due to their possible complex application for ship hulls inven...
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Annika O?Dea, Katherine L. Brodie and Preston Hartzell
This paper details the collection, geo-referencing, and data processing algorithms for a fully-automated, permanently deployed terrestrial lidar system for coastal monitoring. The lidar is fixed on a 4-m structure located on a shore-backing dune in Duck,...
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Katherine Brodie, Ian Conery, Nicholas Cohn, Nicholas Spore and Margaret Palmsten
Coastal foredunes are topographically high features that can reduce vulnerability to storm-related flooding hazards. While the dominant aeolian, hydrodynamic, and ecological processes leading to dune growth and erosion are fairly well-understood, predict...
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Yunfei Bao, Wenjian Ni, Dianzhong Wang, Chunyu Yue, Hongyan He and Hans Verbeeck
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Ashleigh B. Turner, Jeffrey D. Colby, Ryan M. Csontos and Michael Batten
This study examined the utility of a high resolution ground-based (mobile and terrestrial) Light Detection and Ranging (LiDAR) dataset (0.2 m point-spacing) supplemented with a coarser resolution airborne LiDAR dataset (5 m point-spacing) for use in a fl...
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Mandar Khanal, Mahamudul Hasan, Nikolaus Sterbentz, Ryen Johnson and Jesse Weatherly
Lidar and other remotely sensed data such as UAV photogrammetric data capture are being collected and utilized for roadway design on an increasing basis. These methods are desirable over conventional survey due to their efficiency and cost-effectiveness ...
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Ubaldo Marín-Comitre, Álvaro Gómez-Gutiérrez, Francisco Lavado-Contador, Manuel Sánchez-Fernández and Alberto Alfonso-Torreño
Watering ponds represent an important part of the hydrological resources in some water-limited environments. Knowledge about their storage capacity and geometrical characteristics is crucial for a better understanding and management of water resources in...
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Xuelian Meng, Xukai Zhang, Rodolfo Silva, Chunyan Li and Lei Wang
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Lorraine Campbell,Nicolas C. Coops,Sari C. Saunders
Observing landscape patterns at various temporal and spatial scales is central to classifying and mapping ecosystems. Traditionally, ecosystem mapping is undertaken through a combination of fieldwork and aerial photography interpretation. These methods, ...
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Mostafa Arastounia
Pág. 1 - 22
This study proposes an enhanced algorithm that outperforms the methods developed by the author?s earlier contributions for the recognition of railroad assets from LiDAR point clouds. The algorithm is improved by: (1) making it applicable to railroads wit...
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Mostafa Arastounia
This study proposes an enhanced algorithm that outperforms the methods developed by the author?s earlier contributions for the recognition of railroad assets from LiDAR point clouds. The algorithm is improved by: (1) making it applicable to railroads wit...
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Mario Soilán, Ana Sánchez-Rodríguez, Pablo del Río-Barral, Carlos Perez-Collazo, Pedro Arias and Belén Riveiro
Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate impact from hazards at different levels (e.g., from increasing extreme events, driven by climate change); or from human-made events such as: accidents, van...
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Carlo Robiati, Matt Eyre, Claudio Vanneschi, Mirko Francioni, Adam Venn and John Coggan
In recent years data acquisition from remote sensing has become readily available to the quarry sector. This study demonstrates how such data may be used to evaluate and back analyse rockfall potential of a legacy slope in a blocky rock mass. Use of data...
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Shawn Herring
When it comes to capturing existing conditions, the first question in everyone?s mind seems to be ?to scan or not to scan?? With all the technologies out there, the next question is usually ?which tool is best for the job?? Complicating the ability to an...
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Terry L. Pavlis and Laura F. Serpa
We assess the accuracy of Structure-from-Motion/Multiview stereo (SM) terrain models acquired ad hoc or without high-resolution ground control to analyze their usage as a base for inexpensive 3D bedrock geologic mapping. Our focus is on techniques that c...
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