Experiment on Uav Photogrammetry and Terrestrial Laser Scanning for Ict-Integrated Construction

Takahashi, Nobuaki; Wakutsu, Ryuta; Kato, Tsutomu; Wakaizumi, T.; Ooishi, Tetsu; Matsuoka, Ryuji

doi:10.5194/isprs-archives-xlii-2-w6-371-2017

Cited by 12 publications

(4 citation statements)

References 2 publications

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“…This unmanned aerial vehicle was chosen due to its cost-effectiveness and integration of a high-resolution camera and gimbal. To guarantee correct stitching, at least 80% of the front and 70% of the sides of each image were overlapped when acquired [36]. During the flight, drone photographs were taken manually using a DJI smart controller.…”

Section: Drone Surveys and Data Collectionmentioning

confidence: 99%

Use of the Drone for Cost-Effective Surveys In Natura 2000 Protected Areas: A Case Study on Monitoring Plant Diversity in Sicily (Italy)

Tavilla,

Crisafulli,

Minissale

et al. 2024

Preprint

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Unmanned aerial vehicles (UAVs), commonly known as drones, present a cost-effective solution for the swift collection of data from vast and remote areas that are otherwise difficult to access. The Mediterranean Basin, known for being a hot spot for plant biodiversity, hosts several habitats and taxa of significant naturalistic value. However, many of these areas are often inaccessible to botanists, making exploration and research challenging. The aim of this paper is to involve the utilization of drone surveys and open-source software for botanical research. Our primary goal is to show the effectiveness of these tools in the field and demonstrate their practical application in Natura 2000 sites. The protected area chosen for this research is Rocca di Novara, situated in northeastern Sicily. Thanks to our drone investigations, we were able to capture images of the mountain’s side that is inaccessible to humans. This allowed us to observe the habitat of some species in detail. One of the most fascinating discoveries was the reappearance of Saxifraga callosa subsp. australis, which had not been confirmed in this area for over 140 years. Using drones for botanical research can boost field research, making monitoring easier and more cost-effective over time, especially in Natura 2000 sites.

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Section: Drone Surveys and Data Collectionmentioning

confidence: 99%

Use of the Drone for Cost-Effective Surveys In Natura 2000 Protected Areas: A Case Study on Monitoring Plant Diversity in Sicily (Italy)

Tavilla,

Crisafulli,

Minissale

et al. 2024

Preprint

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“…In this paper, the relative distances obtained from total station were used as actual values and thus compared with observed values obtained from the 3D indoor models in order to evaluate their accuracy. RMSE statistical formula was used to access the accuracy [12].…”

Section: Accuracy Assessmentmentioning

confidence: 99%

Evaluating the Accuracy of UAV and TLS for 3D Indoor Modelling in Large-Scale Building Environments

Zakiyon,

Idris,

Hezri Razali

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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The accuracy of 3D indoor reconstructed models is critical in various applications such as indoor navigation, virtual reality (VR), and building information modelling (BIM). This research study aims to evaluate the accuracy of Unmanned Aerial Vehicles (UAV) and Terrestrial Laser Scanning (TLS) for 3D indoor modelling in large-scale building environments. To achieve this, several evaluations were made towards the number of point clouds, estimated costs and accuracy of the 3D indoor reconstructed model generated from dense point clouds acquired by Unmanned Aerial Vehicle (UAV) and Terrestrial Laser Scanner (TLS). A small indoor classroom was selected for this study approximately 100m2. In UAV data acquisition, three (3) flight missions were set up at the front, left and right views. Meanwhile, five (5) scanning stations were placed on-site for the TLS method. Due to various different flight mission views in the UAV dataset, the number of point clouds was quite higher compared to the TLS method. However, a better-quality visualization of the TLS model has been obtained as opposed to the UAV 3D model. For the required time to generate a 3D model, it showed that UAV processing time was more consuming lots of time than the TLS method, especially when georeferencing the overlapping photographs. In terms of accuracy, the RMSE value from TLS was better than UAV at 0.003m compared to UAV at 0.021m. Overall, this study provides insights into the accuracy and suitability of UAV and TLS for 3D indoor modelling in large-scale building environments. The results can inform decision-making processes in various industries such as architecture, engineering, and construction, where accurate and reliable 3D models are crucial for design, planning, and management purposes.

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“…We utilized two existing datasets in the preliminary investigation: one is a dataset for a feasibility study of UAV photogrammetry for "i-Construction" (N. Takahashi, et al, 2017), and the other is a dataset acquired in an evaluation experiment of the system developed by Mizukami, et al The former is called Dataset T, while the latter is called Dataset M.…”

Section: Datasets Utilized In the Studymentioning

confidence: 99%

Preliminary Investigation on Possibility of Super Resolution of Uav Orthoimages

Matsuoka

Fukue

2020

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

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Abstract. Since inspection of infrastructures using UAV images seems to be efficient, many systems for infrastructure maintenance using UAV images have been developed recently. For the purpose of more efficient image acquisition, we started an investigation on the possibility of super resolution (SR) of UAV images to obtain high-resolution (HR) orthoimages suitable for infrastructure maintenance. This paper reports an preliminary investigation using existing UAV images acquired for 3D measurement that were not be intended to be utilized for SR. We produced HR orthoimages by three SR methods: image interpolation of a single low-resolution (LR) image by cubic convolution, SR by resampling, and SR based on observation equations. Both SR by resampling and SR based on observation equations utilize multiple overlapping LR images. Results of the investigation demonstrate that SR based on observation equations using multiple overlapping images would be able to provide higher resolution orthoimages than those produced by an ordinary method. The results show that an inaccurate DSM utilized in SR processing degrades the quality of SR results as well. Furthermore, the results illustrate that the quality of the result of SR processing depends rather upon the characteristic of a lens utilized in image acquisition. We think that further investigations on SR using UAV images would be necessary in order to put SR to practical use.

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Experiment on Uav Photogrammetry and Terrestrial Laser Scanning for Ict-Integrated Construction

Cited by 12 publications

References 2 publications

Use of the Drone for Cost-Effective Surveys In Natura 2000 Protected Areas: A Case Study on Monitoring Plant Diversity in Sicily (Italy)

Use of the Drone for Cost-Effective Surveys In Natura 2000 Protected Areas: A Case Study on Monitoring Plant Diversity in Sicily (Italy)

Evaluating the Accuracy of UAV and TLS for 3D Indoor Modelling in Large-Scale Building Environments

Preliminary Investigation on Possibility of Super Resolution of Uav Orthoimages

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