Implementation of ultra-light UAV systems for cultural heritage documentation

Abstract New technologies, such as unmanned aerial vehicles (UAVs) and terrestrial laser scanning systems, provide opportunities for the digital documentation of cultural heritage. Although ultra-light drones (ULDs) are usually used for recreational activities, in this study, we examined their ability for use in digital documentation. We investigated the efficiency of an ULD for documentation of a selected historical building. In this study, the structure from motion (SfM) method was used to create three-dimensional point cloud data of a historical building using ULD and a low-cost UAV. The resulting point clouds were compared with terrestrial laser scanner data. The maximum standard deviations were calculated as 0.62 cm and 1.87 cm for low-cost UAV and ULD, respectively. The results show that ULDs can be used under suitable circumstances as a low-cost alternative for cultural heritage documentation.

[1]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[2]  J. Fernández-Lozano,et al.  Improving archaeological prospection using localized UAVs assisted photogrammetry: An example from the Roman Gold District of the Eria River Valley (NW Spain) , 2016 .

[3]  Roman Shults,et al.  LOW-COST PHOTOGRAMMETRY FOR CULTURE HERITAGE , 2017 .

[4]  A. Akar EVALUATION OF ACCURACY OF DEMS OBTAINED FROM UAV-POINT CLOUDS FOR DIFFERENT TOPOGRAPHICAL AREAS , 2017 .

[5]  Elia Quirós,et al.  Semiautomatic detection and classification of materials in historic buildings with low-cost photogrammetric equipment , 2017 .

[6]  M. Westoby,et al.  ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications , 2012 .

[7]  Pierre Grussenmeyer,et al.  CLOSE RANGE UAV ACCURATE RECORDING AND MODELING OFST-PIERRE-LE-JEUNE NEO-ROMANESQUE CHURCH IN STRASBOURG (FRANCE) , 2017 .

[8]  M. Bolognesi,et al.  TESTING THE LOW-COST RPAS POTENTIAL IN 3D CULTURAL HERITAGE RECONSTRUCTION , 2015 .

[9]  Nico Blodow,et al.  Towards 3D Point cloud based object maps for household environments , 2008, Robotics Auton. Syst..

[10]  Richard Szeliski,et al.  Modeling the World from Internet Photo Collections , 2008, International Journal of Computer Vision.

[11]  Murat Yakar,et al.  Importance of digital close-range photogrammetry in documentation of cultural heritage , 2007 .

[12]  W. Maes,et al.  Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture. , 2019, Trends in plant science.

[13]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[14]  Ran Wang,et al.  Tridimensional Reconstruction Applied to Cultural Heritage with the Use of Camera-Equipped UAV and Terrestrial Laser Scanner , 2014, Remote. Sens..

[15]  José Emilio Meroño de Larriva,et al.  An Analysis of the Influence of Flight Parameters in the Generation of Unmanned Aerial Vehicle (UAV) Orthomosaicks to Survey Archaeological Areas , 2016, Sensors.

[16]  Pierre Grussenmeyer,et al.  Documentation of heritage buildings using close‐range UAV images: dense matching issues, comparison and case studies , 2017 .

[17]  K. Cook An evaluation of the effectiveness of low-cost UAVs and structure from motion for geomorphic change detection , 2017 .

[18]  Fernando Carvajal-Ramírez,et al.  Assessment of UAV-photogrammetric mapping accuracy based on variation of ground control points , 2018, Int. J. Appl. Earth Obs. Geoinformation.

[19]  Simón Peña-Villasenín,et al.  Professional SfM and TLS vs a simple SfM photogrammetry for 3D modelling of rock art and radiance scaling shading in engraving detection , 2019, Journal of Cultural Heritage.

[20]  N. Yastikli,et al.  Architectural Heritage Documentation by Using Low Cost Uav with Fisheye Lens: Otag-I Humayun in Istanbul as a Case Study , 2017 .

[21]  M. Yakar,et al.  PHOTOGRAMMETRIC MODELLING OF HASBEY DAR'ÜLHUFFAZ (MASJID) USING AN UNMANNED AERIAL VEHICLE , 2018 .

[22]  Ferruh Yildiz,et al.  Documentation of historical caravansaries by digital close range photogrammetry , 2008 .

[23]  F. Agüera-Vega,et al.  Assessment of photogrammetric mapping accuracy based on variation ground control points number using unmanned aerial vehicle , 2017 .

[24]  P. Ćwiąkała,et al.  Comparison of low-altitude UAV photogrammetry with terrestrial laser scanning as data-source methods for terrain covered in low vegetation , 2017 .

[25]  Bulent Bayram,et al.  The use of 3D laser scanning technology in preservation of historical structures , 2009 .

[26]  Pierre Grussenmeyer,et al.  Open Source and Independent Methods for Bundle Adjustment Assessment in Close-Range UAV Photogrammetry , 2018 .

[27]  Tian-Sheuan Chang,et al.  Fast SIFT Design for Real-Time Visual Feature Extraction , 2013, IEEE Transactions on Image Processing.

[28]  Michele Russo,et al.  CLOSE-RANGE MINI-UAVS PHOTOGRAMMETRY FOR ARCHITECTURE SURVEY , 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

[29]  Meng Li,et al.  3D Digitisation of Large-Scale Unstructured Great Wall Heritage Sites by a Small Unmanned Helicopter , 2017, Remote. Sens..

[30]  Husnul Hidayat,et al.  Combined aerial and terrestrial images for complete 3D documentation of Singosari Temple based on Structure from Motion algorithm , 2016 .