Uav-Based Acquisition of 3d Point Cloud – A Comparison of a Low-Cost Laser Scanner and SFM-Tools

Mader, David; Blaskow, R.; Westfeld, Patrick; Maas, Hans‐Gerd

doi:10.5194/isprsarchives-xl-3-w3-335-2015

Cited by 27 publications

(18 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studies on the horizontal and vertical accuracy of the SfM-derived model report differing results. Mader et al [24] reported an RMS value of 0.049 m when comparing SfM-derived points to TLS results during monitoring of a bridge. Hrůza et al [25] inspected damage of a forest hauling road and reported an altitudinal RMSE of 0.020 m and a positional RMSE of 0.012 m, while the flight altitude was 4-6 m above the surface of the road.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Accuracy of Photogrammetric UAV-Based Point Clouds under Conditions of Partially-Open Forest Canopy

Tomaštík

Mokroš

Saloň

et al. 2017

Forests

View full text Add to dashboard Cite

This study focuses on the horizontal and vertical accuracy of point-clouds based on unmanned aerial vehicle (UAV) imagery. The DJI Phantom 3 Professional unmanned aerial vehicle and Agisoft PhotoScan Professional software were used for the evaluation. Three test sites with differing conditions (canopy openness, slope, terrain complexity, etc.) were used for comparison. The accuracy evaluation was aimed on positions of points placed on the ground. This is often disregarded under forest conditions as it is not possible to photogrammetrically reconstruct terrain that is covered by a fully-closed forest canopy. Therefore, such a measurement can only be conducted when there are gaps in the canopy or under leaf-off conditions in the case of deciduous forests. The reported sub-decimetre horizontal accuracy and vertical accuracy lower than 20 cm have proven that the method is applicable for survey, inventory, and various other tasks in forests. An analysis of ground control point (GCP) quantity and configuration showed that the quantity had only a minor effect on the accuracy in cases of plots with~1-hectare area when using the aforementioned software. Therefore, methods increasing quality (precision, accuracy) of GCP positions should be preferred over the increase of quantity alone.

show abstract

Section: Discussionmentioning

confidence: 99%

“…RGB or NIR (near infrared) cameras are used in the majority of these studies. Many other applications of UAVs have also been described apart from forestry, e.g., agriculture [22,23], damage detection of buildings [24,25], landslide research [26], research of…”

Section: Introductionmentioning

confidence: 99%

Accuracy of Photogrammetric UAV-Based Point Clouds under Conditions of Partially-Open Forest Canopy

Tomaštík

Mokroš

Saloň

et al. 2017

Forests

View full text Add to dashboard Cite

show abstract

“…The laserscanner has a small size of 62mm × 62mm × 87.5mm and a weight of 210g. Therefore and because of its low cost, it is frequently applied to UAS's (Huh et al, 2013;Mader et al, 2015). Table 1 summarizes the specifications of all sensors used in our experiments.…”

Section: Experiments and Resultsmentioning

confidence: 99%

UCalMiCeL – UNIFIED INTRINSIC AND EXTRINSIC CALIBRATION OF A MULTI-CAMERA-SYSTEM AND A LASERSCANNER

Hillemann

Jutzi²

2017

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:Unmanned Aerial Vehicle (UAV) with adequate sensors enable new applications in the scope between expensive, large-scale, aircraftcarried remote sensing and time-consuming, small-scale, terrestrial surveyings. To perform these applications, cameras and laserscanners are a good sensor combination, due to their complementary properties. To exploit this sensor combination the intrinsics and relative poses of the individual cameras and the relative poses of the cameras and the laserscanners have to be known. In this manuscript, we present a calibration methodology for the Unified Intrinsic and Extrinsic Calibration of a Multi-Camera-System and a Laserscanner (UCalMiCeL). The innovation of this methodology, which is an extension to the calibration of a single camera to a line laserscanner, is an unifying bundle adjustment step to ensure an optimal calibration of the entire sensor system. We use generic camera models, including pinhole, omnidirectional and fisheye cameras. For our approach, the laserscanner and each camera have to share a joint field of view, whereas the fields of view of the individual cameras may be disjoint. The calibration approach is tested with a sensor system consisting of two fisheye cameras and a line laserscanner with a range measuring accuracy of 30mm. We evaluate the estimated relative poses between the cameras quantitatively by using an additional calibration approach for Multi-Camera-Systems based on control points which are accurately measured by a motion capture system. In the experiments, our novel calibration method achieves a relative pose estimation with a deviation below 1.8• and 6.4mm.

show abstract

“…However, there is evidence that interest in combining multiple high‐resolution datasets obtained from both terrestrial, airborne, and surface systems is growing. Examples include combining aerial imagery from UAV platforms with ALS (Legleiter, ) and MLS (Flener et al, ), bathymetric ALS and ULS (Mandlburger et al, ), airborne imagery and ALS (Rapple et al, ), and multiple UAV flights with imagery and laser configurations (Mader et al, ). This has enabled researchers to improve their modelling of combined subaerial and subsurface morphology, better understand riparian vegetation encroachment, and enhance current data integration approaches; all of which would be more challenging through single dataset analysis.…”

Section: The State Of the Artmentioning

confidence: 99%

Remote sensing of river corridors: A review of current trends and future directions

Tomsett

Leyland

2019

River Research & Apps

109

View full text Add to dashboard Cite

River corridors play a crucial environmental, economic, and societal role yet also represent one of the world's most dangerous natural hazards, making monitoring imperative to improve our understanding and to protect people. Remote sensing offers a rapidly growing suite of methods by which river corridor monitoring can be performed efficiently, at a range of scales and in difficult environmental conditions. This paper aims to evaluate the current state and assess the potential future of river corridor monitoring, whilst highlighting areas that require further investigation. We initially review established methods that are used to undertake river corridor monitoring, framed by the context and scales upon which they are applied. Subsequently, we review cutting edge technologies that are being developed and focussed around unmanned aerial vehicle and multisensor system advances. We also "horizon scan" for future methods that may become increasingly prominent in research and management, citing examples from within and outside of the fluvial domain. Through review of the literature, it has become apparent that the main gap in fluvial remote sensing lies in the trade-off between resolution and scales. However, prioritising process measurements and simultaneous multisensor data collection is likely to offer a bigger advance in understanding than purely from better surveying methods alone. Challenges regarding the legal deployment of more complex systems, as well as effectively disseminating data into the science community, are amongst those that we propose need addressing. However, the plethora of methods currently available means that researchers and monitoring agencies will be able to identify suitable techniques for their needs.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

Uav-Based Acquisition of 3d Point Cloud – A Comparison of a Low-Cost Laser Scanner and SFM-Tools

Cited by 27 publications

References 11 publications

Accuracy of Photogrammetric UAV-Based Point Clouds under Conditions of Partially-Open Forest Canopy

Accuracy of Photogrammetric UAV-Based Point Clouds under Conditions of Partially-Open Forest Canopy

UCalMiCeL – UNIFIED INTRINSIC AND EXTRINSIC CALIBRATION OF A MULTI-CAMERA-SYSTEM AND A LASERSCANNER

Remote sensing of river corridors: A review of current trends and future directions

Contact Info

Product

Resources

About