Evaluation of Accuracy of Dems Obtained From Uav-Point Clouds for Different Topographical Areas

Akar, Alper

doi:10.26833/ijeg.329717

Cited by 25 publications

(17 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…UAVs can provide a lot of information related to the surface with the various sensors they have or can be integrated. When UAVs photogrammetric techniques are also compared with satellite and aerial survey, UAVs can provide very high resolution data quickly with high accuracy and low cost (Akar 2017;Eltner et al 2017;Psirofonia et al 2017;Thumser et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Assessing the spatial accuracy of UAV-derived products based on variation of flight altitudes

Akay

Özcan²,

Şanlı

et al. 2021

Turkish Journal of Engineering

View full text Add to dashboard Cite

Unmanned aerial vehicle Digital surface model (DSM) Point cloud Volumetric analysisUnmanned Aerial Vehicles (UAVs), which can carry a variety of payloads, and be operated automatically or manually with ground control stations. Nowadays, UAVs can make photogrammetric flight plans and obtain photogrammetric data with existing sensor systems. Automatic data acquisition processes provide lower cost, and high spatial and temporal resolution images in a short period of time compared to other measurement methods. As a result, orthomosaics, dense point clouds and digital surface models (DSMs) are produced and these UAV-derived data are used in various disciplines such as constructions, geomatics, earth sciences, etc. In this study, the same flight plans were realized with an UAV at different altitudes and all aerial images were obtained with the same integrated digital camera. As a result of the processing of images acquired from different altitudes, orthomosaics, DSMs and point cloud were produced. In this study, it is aimed to compare the length, areal and volumetric differences of a small geostationary object. Ground control points (GCPs), which were collected by RTK-GPS (Real-Time Kinematic) in conjunction with the flight integrated into data production process in order to highly accurate product. Ultimately, cross-correlation has been done with the produced data and the terrestrial measurement. Results show that the dimension of the object depend on the flight altitude as expected, however the volumetric changes vary due to the uncertainties in the raw point cloud data.

show abstract

Section: Introductionmentioning

confidence: 99%

Assessing the spatial accuracy of UAV-derived products based on variation of flight altitudes

Akay

Özcan²,

Şanlı

et al. 2021

Turkish Journal of Engineering

View full text Add to dashboard Cite

show abstract

“…For the last decade, the number of Unmanned Aerial Vehicles (UAVs) that are being used in numerous applications has been extensively increased due to growing demand from both the military and civil sectors (Thite et al, 2012;Pieraccini et al, 2017;Ananenkov, et al, 2018). One of the use of UAVs is for remote sensing applications (Ulvi et al, 2016;Akar, 2017, Ulvi, 2018. In a parallel manner, the need to detect such vehicles becomes really crucial for the safety on people.…”

Section: Introductionmentioning

confidence: 99%

Radar cross section analysis of unmanned aerial vehicles using predics

Özdemir¹

2020

International Journal of Engineering and Geosciences

View full text Add to dashboard Cite

In this study, a quantitative radar cross section (RCS) analysis of different unmanned aerial vehicle (UAV) models were accomplished by means of a series of RCS simulations. The simulations were carried out by high-frequency RCS simulation and analysis tool called PREDICS. To quantify the RCS features of the UAV model, both the anglevariation and frequency-variation simulations for all polarization excitations were performed. The results of the simulations suggested that RCS values were dramatically varying with respect to look angle with some special angles providing the large values of RCS. Generally, the RCS values of the UAV model was increasing with frequency as expected. A quantitative radar detection range analyses were also accomplished to assess the visibility of both the military-type and civil-type UAV models. The outcome of these studies has suggested that large-size UAV model can be easily detected by a high-sensitive radar on the ranges of tens of kilometers while these numbers reduce to a few kilometers for a civilian UAV model that is much smaller than the its military counterpart.

show abstract

“…Influence of interpolation method on the DTM quality has been investigated in previous studies (Robinson & Metternicht 2006;Arun 2013;Akar 2017). The method can influence DTM with lower resolution commonly derived from satellite imagery (Robinson & Metternicht 2006;Arun 2013).…”

Section: Introductionmentioning

confidence: 99%

“…The method can influence DTM with lower resolution commonly derived from satellite imagery (Robinson & Metternicht 2006;Arun 2013). Differences between the high-resolution DTMs derived from UAV imagery interpolated using multiple methods has shown to be not significant (Akar 2017). Comparison of some studies also shows how much is the vertical accuracy of DTM influenced by its resolution (Robinson & Metternicht 2006;Arun 2013;Akar 2017).…”

Section: Introductionmentioning

confidence: 99%

The vertical accuracy of digital terrain models derived from the close-range photogrammetry point cloud using different methods of interpolation and resolutions

Čerňava

Chudý

Tunák

et al. 2019

Central European Forestry Journal

View full text Add to dashboard Cite

Structure-from-motion (SfM) in combination with multi-view stereo (MVS) represent techniques, which allow efficient generation of the point cloud from close-range photogrammetry (CRP) images of forest ground. Recent software products for the generation of digital terrain models (DTM) includes a wide range of interpolation methods. Previous studies showed different errors in elevations of DTMs interpolated with different methods. This study aims to analyze differences between the elevations of DTMs derived from CRP point cloud using different methods of interpolation. Six methods of interpolation included in modular system OPALS were tested in the study. In addition to simple methods of interpolation such as Snap or Moving average, more complex methods were used for interpolation of the DTMs elevations. For each method, 5 DTMs with resolution ranging from 1 to 20 cm were generated. Elevations of the DTMs were compared with the elevations of Global Navigation Satellite System (GNSS) surveyed check points. RMSE of DTMs elevations ranges from 3.4 cm to 16.2 cm. Differences between the elevations of DTMs interpolated using different methods and resolution were further investigated using one-way analysis of variance (ANOVA). The ANOVA rejected the statistical significance of the differences. Additionally, the spatial distribution of errors was analyzed. The analysis indicates that the interpolation of the extreme DTM values can be expected at the edges of the DTM when using the CRP images captured from single passing through the study site.

show abstract

Evaluation of Accuracy of Dems Obtained From Uav-Point Clouds for Different Topographical Areas

Cited by 25 publications

References 24 publications

Assessing the spatial accuracy of UAV-derived products based on variation of flight altitudes

Assessing the spatial accuracy of UAV-derived products based on variation of flight altitudes

Radar cross section analysis of unmanned aerial vehicles using predics

The vertical accuracy of digital terrain models derived from the close-range photogrammetry point cloud using different methods of interpolation and resolutions

Contact Info

Product

Resources

About