Road Orthophoto/DTM Generation From Mobile Laser Scanning

Vallet, Bruno; Papelard, Jean-Pierre

doi:10.5194/isprsannals-ii-3-w5-377-2015

Cited by 10 publications

(7 citation statements)

References 16 publications

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“…They state that the application of MLS could provide valuable proof of the road technical condition. Vallet et al [54] propose a pipeline to produce road orthophotos and DTM from MLS, as for DTM, MLS offers a much higher accuracy and density than aerial products. However, most of these studies deal with civil engineering in urban areas for traffic and city planning and modeling.…”

Section: Introductionmentioning

confidence: 99%

Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing

et al. 2018

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Currently, a large part of forest roads with a bituminous surface course constructed in the Czech Republic in the second half of the last century has been worn out. The aim of the study is to verify the possibility and the accuracy of the road wearing course damage detected by four different remote sensing methods: close range photogrammetry, terrestrial laser scanning, mobile laser scanning and airborne laser scanning. At the beginning of verification, cross sections of the road surface were surveyed geodetically and then compared with the cross sections created in the DTMs which were acquired using the four methods mentioned above. The differences calculated between particular models and geodetic measurements show that close range photogrammetry achieved an RMSE of 0.0110 m and the RMSE of terrestrial laser scanning was 0.0243 m. Based on these results, we can conclude that these two methods are sufficient for the monitoring of the asphalt wearing course of forest roads. These methods allow precise and objective localization, size and quantification of the road damage. By contrast, mobile laser scanning with an RMSE of 0.3167 m does not reach the required precision for the damage detection of forest roads due to the vegetation that affects the precision of the measurements. Similar results are achieved by airborne laser scanning, with an RMSE of 0.1392 m. As regards the time needed, close range photogrammetry appears to be the most appropriate method for damage detection of forest roads.

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Section: Introductionmentioning

confidence: 99%

Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing

et al. 2018

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“…This method of work extensively studied (Yunfei et al, 2008;Vallet and Papelard, 2015), poses in particular challenges related to the filtering and removal from the cloud of above-ground points (tall vegetation, trees, buildings, etc. ); and to the reduction of any error resulting from the registration of two or more overlapping chunks.…”

Section: Data Discretisation and 3d Modellingmentioning

confidence: 99%

From Reality-Based Model to Gis Platform. Multi-Scalar Modeling for Irrigated Landscape Management in the Pavia Plain

Doria

Placa

Picchio

2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This research aims to define a low-cost replicable methodology for obtaining fast multiscale information models. The experiments carried out were conducted by researchers from Dada LAB and PLAY experimental Laboratories of the University of Pavia, Department of Civil Engineering and Architecture, on the case study of the irrigated landscape of the Pavia plain. The entire work process was developed according to a low-cost purpose, starting from fast acquisition activities with UAV instruments, to the processing of photogrammetric data, urban and detailed scale modelling with open-source software, to the census, filing, and computerisation of the model. The resulting product is configured as a multiscale reality-based information system. A census card is associated with each constituent element of the model (crops, canals, valuable hydraulic artefacts). Connection to the GIS platform allows the user to query the model. The result is a digital system oriented to facilitate the management of the agricultural and irrigation landscape, and to digitally document and preserve the heritage of historical hydraulic existing artefacts. Two different GIS platforms for structuring the information system were tested. The first involved a high-budget solution using ESRI ArcGIS Pro/ArcSCENE software, and the second involved using QGIS software, an Open-Source Geographic Information System, to develop an accessible information system without license fees, to evaluate the advantages and disadvantages of low-cost processes.

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“…Based on that, most of the DTM creation algorithms applied to ALS data do not work or are not very efficient for the data collected by MLS. Nevertheless, there are some studies that adapted filters initially designed for ALS or have applied specific algorithms to ground systems collected data (Pfeifer and Mandlburger, 2008;Fellendorf, 2013;Vallet and Papelard, 2015;Tyagur and Hollaus, 2016;Yang et al, 2016). One of the most well-known methods type, is based on the classification of the lowest point within a cell as ground point.…”

Section: Introductionmentioning

confidence: 99%

Multigrid Cell Shape Evaluation in DTM Filtering of Mobile Lidar Point Clouds

Gézero

Antunes

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> The georeferenced information acquisition for large scales digital terrain models generation is usually a rather time-consuming and costly process. The use of point clouds gathered by mobile LiDAR systems therefore appears as a possible source for the creation of those models, particularly in remote areas where security issues requires a maximum speed field collection information. However, the filtering challenge to separate the points that represents the terrain surface from the remaining, in an automatic and consistent way, is an open challenge that continues to arouse the interest of researchers. Using a multigrid filtering method, this work presents a comparative analysis of different shapes of regular grid cells, including the implementation algorithms for each cell shape. Also, a coordinate grid concept applied to each cell shape is proposed. Finally, a discussion about the obtained results of the method application using point clouds collected in different environments from different ground LiDAR systems are presented.</p>

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Road Orthophoto/DTM Generation From Mobile Laser Scanning

Cited by 10 publications

References 16 publications

Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing

Detecting Forest Road Wearing Course Damage Using Different Methods of Remote Sensing

From Reality-Based Model to Gis Platform. Multi-Scalar Modeling for Irrigated Landscape Management in the Pavia Plain

Multigrid Cell Shape Evaluation in DTM Filtering of Mobile Lidar Point Clouds

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