A review of UAV integration in forensic civil engineering: From sensor technologies to geotechnical, structural and water infrastructure applications

Kim, Sang Yeob; Yun Kwon, Da; Jang, Arum; Ju, Young K.; Lee, Jong-Sub; Hong, Seungkwan

doi:10.1016/j.measurement.2023.113886

Cited by 8 publications

(2 citation statements)

References 168 publications

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“…The initiatives of hyperspectral imaging (HSI) represent imminent forms of technological knowledge and inter-disciplinary inventions that are strikingly inspiring as these can be utilized in the detection of abnormalities across a range of utilizations [1][2][3][4][5][6][7][8]. With the help of advanced and state-of-the-art hyperspectral sensors, covering a wide spectral range, more data is available, and the complexity beyond the conventional human visual power or imaging technology is overcome.…”

Section: Introductionmentioning

confidence: 99%

Charting the evolution: bibliometric perspectives on anomaly detection within hyperspectral domains

Obaideen,

Bonny,

AlShabi

2024

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXX

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In this article the results of the disruption module in the hyperspectral image field are analyzed and present itself. The aim is to see the major concerns, techniques and potential areas that can be researched as topics in the bibliometric method. Highly specified hyper-spectral spectroscopy that can simultaneously analyze the spectral data beyond the visual spectrum down even to the nanoscale. It can be used for various reasons, including environmental management, agriculture, and mineralogy. Unlike small data systems, where patterns are simple to identify, in large scale systems, where there is huge data quantity to study, there should be a wide variety of complexity of algorithms to use in reliable anomaly detection. This research bases its methodology on a two-layer mechanism which is simply to conduct very thorough literature review and deep bibliometric analysis to showcase the innovations in the field of anomaly detection of hyperspectral radar. The role of the states of estimation and the parameters, trained and objective, filtered, control rules, and fuzzy logic are some aspects, among the many, that is coming to the fore during the anomaly detection process. This paper aims to carry out a detailed analysis to mainly focus on the technical and methodological advancements that have reshaped the research area. It also shows that priority should be given to this aspect and that anime detection is the most challenging part of hyperspectral. What is more, this process gives numerous valuable signals about potential routes for future research. The results point to the dominant feature of the developed strategy and analysis which was mostly based on the special of multi-dimensional and transdisciplinary thinking.

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Section: Introductionmentioning

confidence: 99%

Charting the evolution: bibliometric perspectives on anomaly detection within hyperspectral domains

Obaideen,

Bonny,

AlShabi

2024

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXX

View full text Add to dashboard Cite

show abstract

“…In other terms, there exist no reviews about the drones themselves, involving different architectures, structures, avionics, and software-to-hardware branches (i.e., the results of algorithms over the behavioral mechanism of sensors). Forwardly, as a matter of proof, and despite the extended application fields for UAVs such as concentrating solar thermal system planning and operation [64], intrusion detection [65], forest ecology [66], forensic civil engineering [67], plant-scale growth estimation [68], and photovoltaic plant diagnosis and maintenance [69,70], the available related reviews provide a less detailed informative background about the realm of UAVs. To address this issue, this paper aims to critically review and assess the different UAV facets, decomposed into five major sets including flight control and navigation, communication and remote control, computing and data management, sensing and monitoring, and power and energy management.…”

mentioning

confidence: 99%

Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems

Osmani,

Schulz

2024

Sensors

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The evolving technologies regarding Unmanned Aerial Vehicles (UAVs) have led to their extended applicability in diverse domains, including surveillance, commerce, military, and smart electric grid monitoring. Modern UAV avionics enable precise aircraft operations through autonomous navigation, obstacle identification, and collision prevention. The structures of avionics are generally complex, and thorough hierarchies and intricate connections exist in between. For a comprehensive understanding of a UAV design, this paper aims to assess and critically review the purpose-classified electronics hardware inside UAVs, each with the corresponding performance metrics thoroughly analyzed. This review includes an exploration of different algorithms used for data processing, flight control, surveillance, navigation, protection, and communication. Consequently, this paper enriches the knowledge base of UAVs, offering an informative background on various UAV design processes, particularly those related to electric smart grid applications. As a future work recommendation, an actual relevant project is openly discussed.

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Comparative analysis of slope stability factors and a hydrological dataset for landslide assessment

Song,

Na,

Jun

et al. 2024

Nat Hazards

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A review of UAV integration in forensic civil engineering: From sensor technologies to geotechnical, structural and water infrastructure applications

Cited by 8 publications

References 168 publications

Charting the evolution: bibliometric perspectives on anomaly detection within hyperspectral domains

Charting the evolution: bibliometric perspectives on anomaly detection within hyperspectral domains

Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems

Comparative analysis of slope stability factors and a hydrological dataset for landslide assessment

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