Application of Unmanned Aerial Vehicle (UAV) for Damage Assessment of a Cultural Heritage Monument

Baranwal, Ekta; Seth, Poonam; Pande, Hina; Raghavendra, S.; Kushwaha, S. K. P.

doi:10.1007/978-3-030-37393-1_13

Cited by 17 publications

(8 citation statements)

References 13 publications

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“…Furthermore, the automatic segmentation and classification of derived point clouds and 3D models [340][341][342] has particular importance for the semantic description and virtual reassembly of historic structures, especially for BIM integration [343], and web and augmented/mixed reality applications [344]. UAS-based photogrammetry has also been implemented for assessing damage in post-disaster scenarios through multitemporal 3D modeling [345][346][347], while the classification of images and point clouds collected with UAS sensors can also support structural health monitoring [348,349]. To conclude, the use of UAS presents us with an exciting prospect for damaged built heritage monitoring by supporting terrestrial non-destructive surveys via high-resolution modeling, multispectral mapping [162], and providing the necessary input for rapid inspections and numerical modeling [350].…”

Section: The Aerial Perspectivementioning

confidence: 99%

Close-Range Sensing and Data Fusion for Built Heritage Inspection and Monitoring—A Review

Adamopoulos

Rinaudo

2021

Remote Sensing

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Built cultural heritage is under constant threat due to environmental pressures, anthropogenic damages, and interventions. Understanding the preservation state of monuments and historical structures, and the factors that alter their architectural and structural characteristics through time, is crucial for ensuring their protection. Therefore, inspection and monitoring techniques are essential for heritage preservation, as they enable knowledge about the altering factors that put built cultural heritage at risk, by recording their immediate effects on monuments and historic structures. Nondestructive evaluations with close-range sensing techniques play a crucial role in monitoring. However, data recorded by different sensors are frequently processed separately, which hinders integrated use, visualization, and interpretation. This article’s aim is twofold: i) to present an overview of close-range sensing techniques frequently applied to evaluate built heritage conditions, and ii) to review the progress made regarding the fusion of multi-sensor data recorded by them. Particular emphasis is given to the integration of data from metric surveying and from recording techniques that are traditionally non-metric. The article attempts to shed light on the problems of the individual and integrated use of image-based modeling, laser scanning, thermography, multispectral imaging, ground penetrating radar, and ultrasonic testing, giving heritage practitioners a point of reference for the successful implementation of multidisciplinary approaches for built cultural heritage scientific investigations.

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Section: The Aerial Perspectivementioning

confidence: 99%

Close-Range Sensing and Data Fusion for Built Heritage Inspection and Monitoring—A Review

Adamopoulos

Rinaudo

2021

Remote Sensing

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“…A schedule for data collection that especially considers the energy-efficiency of UAVs is also considered in this contribution. Additionally, UAV applications for assessing the damage to cultural heritage sites after earthquakes have been also considered in [248]. As an example, the Sulamani Pagoda in Bagan, Myanmar was severely damaged by a strong earthquake on August 24, 2016.…”

Section: A Event-based Communicationsmentioning

confidence: 99%

Survey on Aerial Radio Access Networks: Toward a Comprehensive 6G Access Infrastructure

Dao

Pham

et al. 2021

Preprint

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Current network access infrastructures are characterized by heterogeneity, low latency, high throughput, and high computational capability, enabling massive concurrent connections and various services. Unfortunately, this design does not pay significant attention to mobile services in underserved areas. In this context, the use of aerial radio access networks (ARANs) is a promising strategy to complement existing terrestrial communication systems. Involving airborne components such as unmanned aerial vehicles, drones, and satellites, ARANs can quickly establish a flexible access infrastructure on demand. ARANs are expected to support the development of seamless mobile communication systems toward a comprehensive sixthgeneration (6G) global access infrastructure. This paper provides an overview of recent studies regarding ARANs in the literature. First, we investigate related work to identify areas for further exploration in terms of recent knowledge advancements and analyses. Second, we define the scope and methodology of this study. Then, we describe ARAN architecture and its fundamental features for the development of 6G networks. In particular, we analyze the system model from several perspectives, including transmission propagation, energy consumption, communication latency, and network mobility. Furthermore, we introduce technologies that enable the success of ARAN implementations in terms of energy replenishment, operational management, and data delivery. Subsequently, we discuss application scenarios envisioned for these technologies. Finally, we highlight ongoing research efforts and trends toward 6G ARANs.

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“…Latest developments in low-cost close range remote sensing technologies have opened an opportunity to utilize the derived datasets for multiple purposes. One of such low-cost technology is Unmanned Aerial Vehicle (UAV) when smaller footprint (street or city level) is considered compared to larger region (country or global level), which has been efficiently utilized various applications like cultural heritage [1], forest degradation mapping [2], landslide modelling [3], mapping of urban landscapes [4], etc. The images acquired through UAV can be further used to generate many products each of which has their advantages and disadvantages.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of digital surface model in dense urban regions obtained from UAV photogrammetry in flat and steep terrains

Kushwaha¹,

Mokroš²,

Jain³

2023

SPIE Future Sensing Technologies 2023

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Generating accurate 3D models of the city or a region has become a key important step to plan any further development or modifications from the current plan. Close-range remote sensing technologies have been very efficient in generating accurate 3D models of the regions with very detailed information. Unmanned Aerial Vehicle (UAV) is one such technology that is widely used due to their cost-effectiveness, time efficiency, and for various other reasons. In this research, the quality of the Digital Surface Model (DSM) produced through the photogrammetric software process is tried to enhance in some parts of the datasets. The DSM is generated from the pointcloud generated from Structure from Motion (SfM). In dense urban regions, the overlap of the UAV images is not sufficient or incapable to generate ample points in the point cloud at some places in the dataset, due to which the DSM generated is not that accurate. The point cloud is enhanced using an interpolation technique at those regions. From which the DSM generated is enhanced. Qualitative analysis is also done between the DSM obtained through the photogrammetric software process and the DSM enhanced through the proposed methodology. This low-cost approach can be implemented while creating digital twin models.

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Application of Unmanned Aerial Vehicle (UAV) for Damage Assessment of a Cultural Heritage Monument

Cited by 17 publications

References 13 publications

Close-Range Sensing and Data Fusion for Built Heritage Inspection and Monitoring—A Review

Close-Range Sensing and Data Fusion for Built Heritage Inspection and Monitoring—A Review

Survey on Aerial Radio Access Networks: Toward a Comprehensive 6G Access Infrastructure

Enhancement of digital surface model in dense urban regions obtained from UAV photogrammetry in flat and steep terrains

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