A review of machine learning in processing remote sensing data for mineral exploration

Remote Sensing of Environment, Journal Year: 2021, Volume and Issue: 268, P. 112750 - 112750

Published: Oct. 30, 2021

Language: Английский

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Photogrammetry Using UAV-Mounted GNSS RTK: Georeferencing Strategies without GCPs

Remote Sensing, Journal Year: 2021, Volume and Issue: 13(7), P. 1336 - 1336

Published: March 31, 2021

Georeferencing using ground control points (GCPs) is the most common strategy in photogrammetry modeling unmanned aerial vehicle (UAV)-acquired imagery. With increased availability of UAVs with onboard global navigation satellite system–real-time kinematic (GNSS RTK), georeferencing without GCPs becoming a promising alternative. However, systematic elevation error remains problem this technique. We aimed to analyze reasons for and propose strategies its elimination. Multiple flights differing flight altitude image acquisition axis were performed at two real-world sites. A height 100 m vertical (nadiral) was considered primary, supplemented altitudes 75 125 oblique axes (30° 15°). Each these twice produce full double grid. Models reconstructed from individual their combinations. The or even combinations yielded errors up several decimeters. This linearly dependent on deviation focal length reference value. combination same (with nadiral acquisition) capable reducing less than 0.03 m. study first demonstrate linear dependence between models based only GNSS RTK data determined internal orientation parameters (focal length). In addition, we have shown that different can eliminate conditions is, therefore, feasible alternative use GCPs.

Language: Английский

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A New Method for UAV Lidar Precision Testing Used for the Evaluation of an Affordable DJI ZENMUSE L1 Scanner

Remote Sensing, Journal Year: 2021, Volume and Issue: 13(23), P. 4811 - 4811

Published: Nov. 27, 2021

Lately, affordable unmanned aerial vehicle (UAV)-lidar systems have started to appear on the market, highlighting need for methods facilitating proper verification of their accuracy. However, dense point cloud produced by such makes identification individual points that could be used as reference difficult. In this paper, we propose a method utilizing accurately georeferenced targets covered with high-reflectivity foil, which can easily extracted from cloud; centers determined and calculation systematic shift lidar cloud. Subsequently, is cleaned compared SfM cloud, thus yielding residual We successfully applied evaluation an DJI ZENMUSE L1 scanner mounted UAV Matrice 300 found accuracies system (3.5 cm in all directions after removal global georeferencing error) are better than manufacturer-declared values (10/5 horizontal/vertical). color information revealed relatively high (approx. 0.2 m) shift.

Language: Английский

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A Literature Survey of Unmanned Aerial Vehicle Usage for Civil Applications

Journal of Aerospace Technology and Management, Journal Year: 2021, Volume and Issue: 13

Published: Jan. 1, 2021

Unmanned vehicles/systems (UVs/USs) technology has exploded in recent years. vehicles are operated the air, on ground, or on/in water. play a more significant role many civil application domains, such as remote sensing, surveillance, precision agriculture and rescue operations rather than manned systems. outperform systems terms of mission safety operational costs. aerial (UAVs) widely utilized infrastructure because their low maintenance costs, ease deployment, hovering capability, excellent mobility. The UAVs can gather photographs faster accurately satellite imagery, allowing for prompt assessment. This study provides comprehensive overview UAV applications, including classification requirements. Also encompassed with research trends, critical challenges, future insights how artificial intelligence (smart AI). Furthermore, this paper discusses specifications several drone models simulators. According to literature review, is one applications smart UAVs. aid detection weeds, crop management, identification plant diseases, among other issues, paving path researchers create future.

Language: Английский

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A review of monitoring, calculation, and simulation methods for ground subsidence induced by coal mining

International Journal of Coal Science & Technology, Journal Year: 2023, Volume and Issue: 10(1)

Published: June 14, 2023

Abstract Subsidence data acquisition methods are crucial to mining subsidence research and an essential component of achieving the goal environmentally friendly coal mining. The origin history existing field monitoring, calculation, simulation were introduced. It summarized analyzed main applications, flaws solutions, improvements these methods. Based on this analysis, future developing directions prospected suggested. monitoring have evolved from conventional ground combined involving ground-based, space-based, air-based measurements. While mature in technology reliable accuracy, emerging remote sensing technologies obvious advantages terms reducing workload increasing coverage. However, require further technological development be more suitable for subsidence. calculation been applied various geological conditions, many already made. In future, attention should paid unifying studies mechanical principles. quite dependent similarity model site conditions generally used as auxiliary source studies. cross-disciplinary between other given serious consideration, they can expected lead breakthroughs areas such theories, devices, software, aspects.

Language: Английский

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Review of Photogrammetric and Lidar Applications of UAV

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(11), P. 6732 - 6732

Published: May 31, 2023

Using Unmanned Aerial Vehicles (UAVs) combined with various sensors brings the benefits associated fast, automatic, and contactless spatial data collection high resolution accuracy. The most frequent application is possibility of effectively creating models based on photogrammetric lidar data. This review analyzes current possibilities UAVs. It provides an overview state art research selected parameters regarding their history development, classification, regulation, in surveying models. Classification regulation are national sources. importance usability this also carried out by analyzing UAV sensors. study explores discusses results achieved many authors recent years, synthesizing essential facts. By network co-occurring High-Frequency Words, addition, we visualized primary keyword context other keywords literary sources processed.

Language: Английский

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Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review

Drones, Journal Year: 2024, Volume and Issue: 8(5), P. 193 - 193

Published: May 12, 2024

This review paper provides insights into optimization strategies for Unmanned Aerial Vehicles (UAVs) in a variety of surveillance tasks and scenarios. From basic path planning to complex mission execution, we comprehensively evaluate the multifaceted role UAVs critical areas such as infrastructure inspection, security surveillance, environmental monitoring, archaeological research, mining applications, etc. The analyzes detail effectiveness specific tasks, including power line bridge inspections, search rescue operations, police activities, monitoring. focus is on integration advanced navigation algorithms artificial intelligence technologies with UAV challenges operating environments. Looking ahead, this predicts trends cooperative networks explores potential more challenging not only researchers comprehensive analysis current state art, but also highlights future research directions, aiming engage inspire readers further explore missions.

Language: Английский

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Embracing drones and the Internet of drones systems in manufacturing – An exploration of obstacles

Technology in Society, Journal Year: 2024, Volume and Issue: 78, P. 102648 - 102648

Published: June 27, 2024

The manufacturing sector attributes the growing prominence of Drones and Internet (IoD) systems to their multifaceted utility in delivery, process monitoring, infrastructure inspection, inventory management, predictive maintenance, safety inspections. Despite potential benefits, adopting these technologies faces significant obstacles that need systematic identification resolution. current literature inadequately addresses barriers impeding adoption IoD manufacturing, indicating a research gap. This study bridges this gap by providing comprehensive insights facilitating organisational transition towards embracing Drone technologies. identifies 20 critical deploying manufacturing. These are validated through global quantitative survey 120 experts analyzed via Exploratory Factor Analysis (EFA). EFA categorises challenges into six distinct dimensions. Utilizing Analytical Hierarchy Process (AHP), dimensions individual ranked, incorporating feedback from five specialists. highlights 'Safety Human Resource Barriers' 'Payload Capacity Battery as most predominant obstacles. Key concerns include limited battery life, explosion risks, damage assets individuals. significantly advances existing presenting practical methodology for categorising prioritising barriers. Employing AHP offers globally relevant framework stakeholders strategically address challenges, advancing integration drones domain.

Language: Английский

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Remote Sensing of Mine Site Rehabilitation for Ecological Outcomes: A Global Systematic Review

Remote Sensing, Journal Year: 2020, Volume and Issue: 12(21), P. 3535 - 3535

Published: Oct. 28, 2020

The mining industry has been operating across the globe for millennia, but it is only in last 50 years that remote sensing technology enabled visualization, mapping and assessment of impacts landscape recovery. Our review published literature (1970–2019) found number ecologically focused studies conducted on mine site rehabilitation increased gradually, with greatest proportion 2010–2019 period. Early were driven exclusively by Landsat sensors at regional scales while decade, multiple earth observation drone-based a diverse range study locations contributed to our understanding vegetation development post-mining. Normalized Differenced Vegetation Index (NDVI) was most common index, used 45% papers; research employed image classification techniques typically supervised (48%) manual interpretation methods (37%). Of 37 publications error assessments, average overall accuracy 84%. In new such as Geographic Object-Based Image Analysis (GEOBIA) have emerged (10% within ten years), along platforms drones (15% years) high spatial and/or temporal resolution satellites. We monitoring standards recommended International Society Ecological Restoration (SER) determine ecological attributes measured each study. Most (63%) land cover (spatial mosaic); comparatively fewer addressed complex topics ecosystem function resilience, species composition, absence threats, which are commonly focus field-based monitoring. propose agenda based identified knowledge gaps tool SER, ensure future approaches greater perspectives, i.e., terms final targets end land-use goals. particular, given key requirement self-sustainability, demonstration resilience disturbance climate change should be area research.

Language: Английский

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Application of UAV in Search and Rescue Actions in Underground Mine—A Specific Sound Detection in Noisy Acoustic Signal

Energies, Journal Year: 2021, Volume and Issue: 14(13), P. 3725 - 3725

Published: June 22, 2021

The possibility of the application an unmanned aerial vehicle (UAV) in search and rescue activities a deep underground mine has been investigated. In presented case study, UAV is searching for lost or injured human who able to call help but not move use any communication device. A capturing acoustic data while flying through corridors used. signal very noisy since during flight contributes high-energetic emission. main goal paper present automatic processing procedure detection specific sound (supposed contain voice activity) presence heavy, time-varying noise from UAV. proposed technique based on time-frequency representation Euclidean distance measurement between reference spectrum (UAV only) captured data. As both “injured” person were equipped with synchronized microphones experiment, validation performed. Two experiments carried out lab conditions, as well one mine, provided satisfactory results.

Language: Английский

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