On the Use of Uavs in Mining and Archaeology - Geo-Accurate 3d Reconstructions Using Various Platforms and Terrestrial Views

Tscharf, Alexander; Rumpler, Markus; Fraundorfer, Friedrich; Mayer, Gerhard; Bischof, Horst

doi:10.5194/isprsannals-ii-1-w1-15-2015

Cited by 33 publications

(28 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many possibilities can be explored in order to enhance the potential of UAVs. For example, the problem raised by vegetation obstacles can be overcome by taking pictures on the ground to complete the model (Tscharf et al, 2015) or using a more precise positioning system to avoid ground control points (Rehak and Skaloud, 2015). With regard to the administrative procedures, these should get lighter with more experience on both sides.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

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: Discussionmentioning

confidence: 99%

“…In addition, they conducted some tests to investigate the accuracy of images orientation and 3D models. Tscharf et al 2015 presented an automated processing pipeline utilizing various images platforms. The developed framework allows for geo-referencing of UAV imagery based on GPS measurements and ground control points (GCPs).…”

Section: Introductionmentioning

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

“…Unmanned aerial vehicles (UAVs) have many applications in various fields such as archaeology (Verhoeven, 2011), agriculture (Honkavaara et al, 2012), and mining (Tscharf, 2015). Moreover, use of 3D modeling commercial software based on structure from motion/multi-view stereo (SfM/MVS) has considerably increased in recent years.…”

Section: Introductionmentioning

confidence: 99%

On Fundamental Evaluation Using Uav Imagery and 3d Modeling Software

Nakano¹,

Suzuki²,

Tamino³

et al. 2016

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

View full text Add to dashboard Cite

ABSTRACT:Unmanned aerial vehicles (UAVs), which have been widely used in recent years, can acquire high-resolution images with resolutions in millimeters; such images cannot be acquired with manned aircrafts. Moreover, it has become possible to obtain a surface reconstruction of a realistic 3D model using high-overlap images and 3D modeling software such as Context capture, Pix4Dmapper, Photoscan based on computer vision technology such as structure from motion and multi-view stereo. 3D modeling software has many applications. However, most of them seem to not have obtained appropriate accuracy control in accordance with the knowledge of photogrammetry and/or computer vision. Therefore, we performed flight tests in a test field using an UAV equipped with a gimbal stabilizer and consumer grade digital camera. Our UAV is a hexacopter and can fly according to the waypoints for autonomous flight and can record flight logs. We acquired images from different altitudes such as 10 m, 20 m, and 30 m. We obtained 3D reconstruction results of orthoimages, point clouds, and textured TIN models for accuracy evaluation in some cases with different image scale conditions using 3D modeling software. Moreover, the accuracy aspect was evaluated for different units of input image-course unit and flight unit. This paper describes the fundamental accuracy evaluation for 3D modeling using UAV imagery and 3D modeling software from the viewpoint of close-range photogrammetry.

show abstract

“…There are commercial products available for 3D reconstruction like Pix4D 2 or Agisoft 1 http://www.vexcel-imaging.com/products/ultracam-eagle 2 https://pix4d.com/ PhotoScan 3 . A similar system is the one by (Tscharf et al, 2015). They present a fully automated approach to generate precise, metric and geo-accurate 3D reconstructions using UAV images and terrestrial ones.…”

Section: Introductionmentioning

confidence: 99%

Automated Inspection of Power Line Corridors to Measure Vegetation Undercut Using Uav-Based Images

Maurer

Höfer²,

Fraundorfer

et al. 2017

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

Self Cite

View full text Add to dashboard Cite

ABSTRACT:Power line corridor inspection is a time consuming task that is performed mostly manually. As the development of UAVs made huge progress in recent years, and photogrammetric computer vision systems became well established, it is time to further automate inspection tasks. In this paper we present an automated processing pipeline to inspect vegetation undercuts of power line corridors. For this, the area of inspection is reconstructed, geo-referenced, semantically segmented and inter class distance measurements are calculated. The presented pipeline performs an automated selection of the proper 3D reconstruction method for on the one hand wiry (power line), and on the other hand solid objects (surrounding). The automated selection is realized by performing pixel-wise semantic segmentation of the input images using a Fully Convolutional Neural Network. Due to the geo-referenced semantic 3D reconstructions a documentation of areas where maintenance work has to be performed is inherently included in the distance measurements and can be extracted easily. We evaluate the influence of the semantic segmentation according to the 3D reconstruction and show that the automated semantic separation in wiry and dense objects of the 3D reconstruction routine improves the quality of the vegetation undercut inspection. We show the generalization of the semantic segmentation to datasets acquired using different acquisition routines and to varied seasons in time.

show abstract

On the Use of Uavs in Mining and Archaeology - Geo-Accurate 3d Reconstructions Using Various Platforms and Terrestrial Views

Cited by 33 publications

References 25 publications

Uav Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities

Uav Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities

On Fundamental Evaluation Using Uav Imagery and 3d Modeling Software

Automated Inspection of Power Line Corridors to Measure Vegetation Undercut Using Uav-Based Images

Contact Info

Product

Resources

About