UAV vs classical aerial photogrammetry for archaeological studies

Nikolakopoulos, Konstantinos G.; Soura, Konstantina; Koukouvelas, Ioannis; Argyropoulos, N. G.

doi:10.1016/j.jasrep.2016.09.004

Cited by 98 publications

(69 citation statements)

References 40 publications

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“…Despite their limitations, GoPro cameras are popular tools for acquiring UAV imagery [24,31,[58][59][60], they are relatively inexpensive, are light enough to be carried by off-the-shelf consumer drones, offer good resolution for their size, and can image large areas at relatively low altitudes (where lower wind speeds make UAV operation easier) [58,[61][62][63][64]. However, ultra-wide-angle lenses require substantial calibration and correction to correct the inherent barrel distortion [33,59]. In this study, we demonstrate that heavily distorted imagery captured with GoPro cameras can be effectively corrected with consumer software, and used to build high-resolution SfM models with little residual distortion.…”

mentioning

confidence: 99%

Measuring Change Using Quantitative Differencing of Repeat Structure-From-Motion Photogrammetry: The Effect of Storms on Coastal Boulder Deposits

Nagle-McNaughton

Cox

2019

Remote Sensing

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Repeat photogrammetry is increasingly the go-too tool for long-term geomorphic monitoring, but quantifying the differences between structure-from-motion (SfM) models is a developing field. Volumetric differencing software (such as the open-source package CloudCompare) provides an efficient mechanism for quantifying change in landscapes. In this case study, we apply this methodology to coastal boulder deposits on Inishmore, Ireland. Storm waves are known to move these rocks, but boulder transportation and evolution of the deposits are not well documented. We used two disparate SfM data sets for this analysis. The first model was built from imagery captured in 2015 using a GoPro Hero 3+ camera (fisheye lens) and the second used 2017 imagery from a DJI FC300X camera (standard digital single-lens reflex (DSLR) camera); and we used CloudCompare to measure the differences between them. This study produced two noteworthy findings: First, volumetric differencing reveals that short-term changes in boulder deposits can be larger than expected, and that frequent monitoring can reveal not only the scale but the complexities of boulder transport in this setting. This is a valuable addition to our growing understanding of coastal boulder deposits. Second, SfM models generated by different imaging hardware can be successfully compared at sub-decimeter resolution, even when one of the camera systems has substantial lens distortion. This means that older image sets, which might not otherwise be considered of appropriate quality for co-analysis with more recent data, should not be ignored as data sources in long-term monitoring studies.Despite these improvements in protocols for data collection and analysis, quantifying change via repeat photogrammetry remains a challenge, generally requiring manipulation of digital terrain models (DTMs) using Geographic Information Systems (GIS) [45,46]. But recent innovations in 3D differencing software, as implemented in the open-source package CloudCompare (www.danielgm.net/cc/) enable rapid, objective, and replicable quantitative differencing [47]. CloudCompare is a cross-platform 3D point cloud and mesh processing package, which provides a suite of features for direct comparison of dense point clouds (>10 million points) and meshes on standard consumer computer hardware [48,49]. Accessibility and ease of use make CloudCompare an attractive tool, and it is applied increasingly in a variety of fields, including mapping [50,51], archaeology [52,53], and geomorphology [54][55][56][57].Another issue relevant to long term monitoring studies is how to deal with repeat imagery captured using different kinds of hardware, with different resolutions and/or distortion levels. The ultra-wide-angle (fisheye) lenses mounted on the popular consumer camera brand GoPro capture a~120 • field of view, but have barrel distortion due to their short focal length. Despite their limitations, GoPro cameras are popular tools for acquiring UAV imagery [24,31,[58][59][60], they are relatively inexpensive, are light enou...

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mentioning

confidence: 99%

Measuring Change Using Quantitative Differencing of Repeat Structure-From-Motion Photogrammetry: The Effect of Storms on Coastal Boulder Deposits

Nagle-McNaughton

Cox

2019

Remote Sensing

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“…According to previous studies (Nikolakopoulos, Soura, Koukouvelas, & Argyropoulos, 2016), the horizontal accuracy of the UAV orthophotos reach 99% of the respective accuracy of a topographic survey while the vertical accuracy is better than 0.2 m.…”

Section: Datasets and Methodologymentioning

confidence: 76%

“…The general geometric distortion model that is used by Adobe Lightroom for fish-eye lenses is analytically described in Chen, Jin, Chien, and Chan (2010). More details and figures about the lens distortion removal procedure are presented in Nikolakopoulos et al (2016).…”

Section: Uav Datamentioning

confidence: 99%

Preliminary results from active landslide monitoring using multidisciplinary surveys

Nikolakopoulos

Kavoura

Depountis

et al. 2017

European Journal of Remote Sensing

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This study presents the synergy of multidisciplinary surveys for the monitoring of an active landslide in Western Greece. The aim of this paper is to highlight and validate a methodology based on multiple sensors data integration which can successfully be used to manage natural disasters or to improve the knowledge of a specific phenomenon in order to prevent and mitigate the risk. Photogrammetric and interferometric processing has been applied to a complex set of remote sensing data such as high resolution satellite images, digital airphotos, aerial photos acquired from an Unmanned Aerial Vehicle and radar data. Global Navigation Satellite System measurements and continuous inclinometer measurements are being performed. The multifunctional technology of Geographic Information Systems is used in order to collect, storage, manage, process, analyze and cartographically represent the previously described complex geoscientific information. ARTICLE HISTORY

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“…However, the most common models are the quadcopter and the hexacopter. The structure of this system is generally a fixed frame with an equal distribution of the rotors with respect to the aircraft's centre of mass [5,6,9] . Fixed-wing UAVs system, on the other hand, presents the closest resemblance to the classic avionics models.…”

Section: Introductionmentioning

confidence: 99%

Fused Deposition Modeling for Unmanned Aerial Vehicles (UAVs): A Review

et al. 2017

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Additive Manufacturing (AM) is a game changing production technology for aerospace applications. Fused deposition modelling is one of the most widely used AM technologies and recently has gained much attention in the advancement of many products. This paper introduces an extensive review of fused deposition modelling and its application in the development of high performance unmanned aerial vehicles. The process methodology, materials, post processing, and properties of its products are discussed in details. Successful examples of using this technology for making functional, lightweight and high endurance unmanned aerial vehicles are also highlighted. In addition, major opportunities, limitations, and outlook of fused deposition modelling are also explored. The paper shows that the emerge of fused deposition modelling as a robust technique for unmanned aerial vehicles represents a good opportunity to produce compact, strong, lightweight structures, and functional parts with embedded electronic.2

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UAV vs classical aerial photogrammetry for archaeological studies

Cited by 98 publications

References 40 publications

Measuring Change Using Quantitative Differencing of Repeat Structure-From-Motion Photogrammetry: The Effect of Storms on Coastal Boulder Deposits

Measuring Change Using Quantitative Differencing of Repeat Structure-From-Motion Photogrammetry: The Effect of Storms on Coastal Boulder Deposits

Preliminary results from active landslide monitoring using multidisciplinary surveys

Fused Deposition Modeling for Unmanned Aerial Vehicles (UAVs): A Review

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