The Effect of Pixel Size on the Accuracy of Orthophoto Production

Külür, Sıtkı; Yildiz, Ferruh; Selcuk, Osman; Yildiz, Munise

doi:10.5194/isprs-annals-iii-4-53-2016

Cited by 3 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The resolution will dictate what is possible to achieve. Indeed it dictates the accuracy which is possible to vectorise objects on an ortho-photo, thus defining the possibilities for realization of engineering and infrastructure projects (Kulur 2016). In this study the vectorization was realized on the point cloud.…”

Section: Image Acquisition Processmentioning

confidence: 99%

Uav Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities

Meouche

Hijazi

Poncet

et al. 2016

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

View full text Add to dashboard Cite

Commission VI, WG VI/4KEY WORDS: Land Surveying, UAV, Photogrammetry, Point Cloud, 3D Model. ABSTRACT:The use of Unmanned Aerial Vehicles (UAVs) for surveying is now widespread and operational for several applications -quarry monitoring, archeological site surveys, forest management and 3D modeling for buildings, for instance. UAV is increasingly used by land surveyors especially for those kinds of projects. It is still ambiguous whether UAV can be applicable for smaller sites and property division. Therefore, the objective of this research is to extract a vectorized plan utilizing a UAV for a small site and investigate the possibility of an official land surveyor exploiting and certificating it. To do that, two plans were created, one using a UAV and another utilizing classical land surveyor instruments (Total Station). A comparison was conducted between the two plans to evaluate the accuracy of the UAV technique compared to the classical one. Moreover, other parameters were also considered such as execution time and the surface covered. The main problems associated with using a UAV are the level of precision and the visualization of the whole area. The results indicated that the precision is quite satisfactory with a maximum error of 1.0 cm on ground control points, and 4 cm for the rest of the model. On the other hand, the results showed that it is not possible to represent the whole area of interest utilizing a UAV, due to vegetation.

show abstract

Section: Image Acquisition Processmentioning

confidence: 99%

Uav Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities

Meouche

Hijazi

Poncet

et al. 2016

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

View full text Add to dashboard Cite

show abstract

“…The resulting point cloud was then subsampled to a regular grid of 10 cm. The 10 cm value was selected to fulfill the requirements of a 1:1000 scale map [61], even though the national requirement at the moment is set at 1:5000. As a consequence of this sole nadiral acquisition, building façades were mostly missing from the point cloud.…”

Section: Data and Employed Methodsmentioning

confidence: 99%

Automatic Workflow for Roof Extraction and Generation of 3D CityGML Models from Low-Cost UAV Image-Derived Point Clouds

Murtiyoso

Veriandi

Suwardhi

et al. 2020

IJGI

View full text Add to dashboard Cite

Developments in UAV sensors and platforms in recent decades have stimulated an upsurge in its application for 3D mapping. The relatively low-cost nature of UAVs combined with the use of revolutionary photogrammetric algorithms, such as dense image matching, has made it a strong competitor to aerial lidar mapping. However, in the context of 3D city mapping, further 3D modeling is required to generate 3D city models which is often performed manually using, e.g., photogrammetric stereoplotting. The aim of the paper was to try to implement an algorithmic approach to building point cloud segmentation, from which an automated workflow for the generation of roof planes will also be presented. 3D models of buildings are then created using the roofs’ planes as a base, therefore satisfying the requirements for a Level of Detail (LoD) 2 in the CityGML paradigm. Consequently, the paper attempts to create an automated workflow starting from UAV-derived point clouds to LoD 2-compatible 3D model. Results show that the rule-based segmentation approach presented in this paper works well with the additional advantage of instance segmentation and automatic semantic attribute annotation, while the 3D modeling algorithm performs well for low to medium complexity roofs. The proposed workflow can therefore be implemented for simple roofs with a relatively low number of planar surfaces. Furthermore, the automated approach to the 3D modeling process also helps to maintain the geometric requirements of CityGML such as 3D polygon coplanarity vis-à-vis manual stereoplotting.

show abstract

“…Three different DEMs were produced with ground sample distances (GSD) of 10 cm, 30 cm, and 50 cm to analyze the geometric accuracy. Although the highest geometric accuracy was obtained with the smallest pixel size all accuracy values provided international standards (Kulur, et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Geometric Accuracy of Large Scale Digital Orthophotos Produced from Aerial Photography

Arslan

Yilmaz

2020

International Journal of Environment and Geoinformatics

View full text Add to dashboard Cite

This paper aims to assess the geometric accuracy of large-scale digital orthophoto produced from aerial photography in the project area. Since accuracy assessment of digital orthophotos is a complicated issue some main factors and parameters that affect digital orthophoto accuracy are briefly explained and discussed throughout the study. For this aim it is investigated the accuracy of digital orthophotos produced in a project for large scale (i.e. 1/1000) digital photogrammetric map and orthophoto production in Kocaeli city. The estimated orthophoto accuracies in the project were found to be quite adequate and acceptable according to the national and international standards. The results also serve for a crucial approach for the usability and cost efficiency of digital orthophoto imagery for the production of large scale national standard maps. ses

show abstract

The Effect of Pixel Size on the Accuracy of Orthophoto Production

Cited by 3 publications

References 1 publication

Uav Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities

Uav Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities

Automatic Workflow for Roof Extraction and Generation of 3D CityGML Models from Low-Cost UAV Image-Derived Point Clouds

Evaluating the Geometric Accuracy of Large Scale Digital Orthophotos Produced from Aerial Photography

Contact Info

Product

Resources

About