UAV archaeological reconstruction: The study case of Chamartin Hillfort (Avila, Spain)

Muñoz-Nieto, Ángel; Rodríguez‐Gonzálvez, Pablo; Gonzales-Aguilera, D.; Fernández-Hernández, J.; Gómez-Lahoz, Javier; Picon-Cabrera, Inmaculada; Herrero-Pascual, J.; Hernández-López, David

doi:10.5194/isprsannals-ii-5-259-2014

Cited by 6 publications

(3 citation statements)

References 22 publications

(20 reference statements)

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“…3D surface-based models have in most cases been created using affordable photogrammetry, laser scanners and structured light scanners. Various computer vision algorithms have been used for reconstructing 3D surface models, such as: intuitive algorithms for computing similarity or distance [ 71 ], SIFT—Scale Invariant Feature Transform [ 72 , 73 ], SURF—Speeded Up Robust Features) [ 74 , 75 ], ICP [ 76 ], SfM [ 76 , 77 ], SfS [ 78 ], SfL [ 79 ], segmentation algorithms [ 80 ], stereoreconstruction algorithms [ 81 , 82 ], self-learning algorithms [ 83 ], etc. In the last year, the use of artificial intelligence algorithms (deep learning, convolutional neural networks, etc.)…”

Section: Tomographic Reconstruction In Archaeologymentioning

confidence: 99%

Microtomographic Analysis of a Palaeolithic Wooden Point from the Ljubljanica River

Puhar

Korat

Erič

et al. 2022

Sensors

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A rare and valuable Palaeolithic wooden point, presumably belonging to a hunting weapon, was found in the Ljubljanica River in Slovenia in 2008. In order to prevent complete decay, the waterlogged wooden artefact had to undergo conservation treatment, which usually involves some expected deformations of structure and shape. To investigate these changes, a series of surface-based 3D models of the artefact were created before, during and after the conservation process. Unfortunately, the surface-based 3D models were not sufficient to understand the internal processes inside the wooden artefact (cracks, cavities, fractures). Since some of the surface-based 3D models were taken with a microtomographic scanner, we decided to create a volumetric 3D model from the available 2D tomographic images. In order to have complete control and greater flexibility in creating the volumetric 3D model than is the case with commercial software, we decided to implement our own algorithm. In fact, two algorithms were implemented for the construction of surface-based 3D models and for the construction of volumetric 3D models, using (1) unsegmented 2D images CT and (2) segmented 2D images CT. The results were positive in comparison with commercial software and new information was obtained about the actual state and causes of the deformation of the artefact. Such models could be a valuable aid in the selection of appropriate conservation and restoration methods and techniques in cultural heritage research.

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Section: Tomographic Reconstruction In Archaeologymentioning

confidence: 99%

Microtomographic Analysis of a Palaeolithic Wooden Point from the Ljubljanica River

Puhar

Korat

Erič

et al. 2022

Sensors

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“…UAV image collection efforts that enable large-scale investigations fill this gap. However, few studies have assessed the feasibility of this technology in landscape studies [19].…”

Section: Introductionmentioning

confidence: 99%

Research on Evaluating the Characteristics of the Rural Landscape of Zhanqi Village, Chengdu, China, Based on Oblique Aerial Photography by Unmanned Aerial Vehicles

Zhu,

Li,

Luo

et al. 2024

Sustainability

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To achieve the transition of rural areas from traditional to modern, the visualization of rural landscape data and feature evaluations are essential. Landscape character assessment (LCA) is a well-established tool that was developed to assess and understand rural landscape features. In recent years, drones have become increasingly attractive for various applications and services due to their low costs and relative ease of operation. Unlike most previous studies that relied solely on drone-based remote sensing or visual esthetic evaluations, this study proposes an innovative assessment method based on landscape characteristic assessment (LCA) and oblique drone photography technology, supported by specific data and survey results. These include various landscape metrics, such as the Shannon diversity index (SHDI), Shannon evenness index (SHEI), vegetation coverage, landscape character zoning, and delineations of various ecologically sensitive areas. This method was applied to study Zhanqi Village in Chengdu, Sichuan Province, China and revealed some unique characteristics of this village. By categorizing and describing the landscape features, the study makes judgments and decisions about them. This is a beneficial attempt to apply the scientific methods of landscape assessments to the production management of aerial drone surveys. This method provides a comprehensive framework for evaluating rural landscape features and demonstrates that the combination of LCA and oblique drone photography technology is feasible for rural landscape research. Additionally, this study emphasizes the need for further research to explore the potential application of this method in continuously evolving urban and rural environments in the future.

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“…In terms of remote sensing modalities, imagery has been used for the derivation of high-resolution orthophotos, which are quite useful for the 2D mapping of archaeological sites. With the recent developments in Structure from Motion (SfM) algorithms, we are able to generate dense point clouds that can cover a site, allowing for its 3D mapping [18][19][20][21]. However, for sites with heavy vegetation cover, image-based documentation fails to provide useful information below canopy (e.g., hidden walls, and underground structures).…”

Section: Introductionmentioning

confidence: 99%

UAV-Based Remote Sensing for Detection and Visualization of Partially-Exposed Underground Structures in Complex Archaeological Sites

Shin

Rastiveis

et al. 2023

Remote Sensing

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The utilization of remote sensing technologies for archaeology was motivated by their ability to map large areas within a short time at a reasonable cost. With recent advances in platform and sensing technologies, uncrewed aerial vehicles (UAV) equipped with imaging and Light Detection and Ranging (LiDAR) systems have emerged as a promising tool due to their low cost, ease of deployment/operation, and ability to provide high-resolution geospatial data. In some cases, archaeological sites might be covered with vegetation, which makes the identification of below-canopy structures quite challenging. The ability of LiDAR energy to travel through gaps within vegetation allows for the derivation of returns from hidden structures below the canopy. This study deals with the development and deployment of a UAV system equipped with imaging and LiDAR sensing technologies assisted by an integrated Global Navigation Satellite System/Inertial Navigation System (GNSS/INS) for the archaeological mapping of Dana Island, Turkey. Data processing strategies are also introduced for the detection and visualization of underground structures. More specifically, a strategy has been developed for the robust identification of ground/terrain surface in a site characterized by steep slopes and dense vegetation, as well as the presence of numerous underground structures. The derived terrain surface is then used for the automated detection/localization of underground structures, which are then visualized through a web portal. The proposed strategy has shown a promising detection ability with an F1-score of approximately 92%.

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UAV archaeological reconstruction: The study case of Chamartin Hillfort (Avila, Spain)

Cited by 6 publications

References 22 publications

Microtomographic Analysis of a Palaeolithic Wooden Point from the Ljubljanica River

Microtomographic Analysis of a Palaeolithic Wooden Point from the Ljubljanica River

Research on Evaluating the Characteristics of the Rural Landscape of Zhanqi Village, Chengdu, China, Based on Oblique Aerial Photography by Unmanned Aerial Vehicles

UAV-Based Remote Sensing for Detection and Visualization of Partially-Exposed Underground Structures in Complex Archaeological Sites

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