Results 61 to 70 of about 1,592 (218)

Accuracy Analysis of a Dam Model from Drone Surveys

Sensors, 2017
This paper investigates the accuracy of models obtained by drone surveys. To this end, this work analyzes how the placement of ground control points (GCPs) used to georeference the dense point cloud of a dam affects the resulting three-dimensional (3D ...
Elena Ridolfi, Giulia Buffi, Sara Venturi, Piergiorgio Manciola   +3 more
doaj   +1 more source

Pediatric home‐based central venous access device dressings: Medical liquid adhesive versus standard care to reduce dressing disruption: The STICKY‐kids RCT protocol

Journal of Hospital Medicine, EarlyView.
Abstract Background Central venous access devices (CVADs) are frequently used in Hospital‐At‐Home models to facilitate prolonged intravenous treatment for children. Premature CVAD dressing disruption is common and contributes to device failure. This protocol describes a trial evaluating the adjunctive use of medical liquid adhesive at the dressing–skin
Tricia M. Kleidon, Mari Takashima, Victoria Gibson, Robert S. Ware, R. N. Nicole Marsh, Amanda J Ullman   +5 more
wiley   +1 more source

Using existing infrastructure as ground control points to support citizen science coastal UAS monitoring programs

Frontiers in Environmental Science, 2023
Recent publications have described the ability of citizen scientists to conduct unoccupied aerial system (UAS) flights to collect data for coastal management.
Lucas F. Rabins, Ethan J. Theuerkauf, Erin L. Bunting, Erin L. Bunting   +3 more
doaj   +1 more source

Pharmacokinetics of Intravenous Melatonin in Preschool‐Aged Pediatric Surgical Patients

Pediatric Anesthesia, EarlyView.
ABSTRACT Background Melatonin may have several beneficial clinical effects in the perioperative setting. In children, it has been studied for preoperative anxiety, postoperative pain, and emergence delirium. Melatonin's pharmacokinetic profile is well‐known in adults, but data in young children are sparse.
Anne Louise de Barros Garioud, Arash Afshari, Lau Romlund Halgreen, Kristian Østergaard Nielsen, Lars Peter Kloster Andersen   +4 more
wiley   +1 more source

Validation of a Particle Image Velocimetry Algorithm Through Comparative Field and Laboratory Analysis

River Research and Applications, EarlyView.
ABSTRACT Flow velocity measurement is fundamental to hydrological and hydraulic studies, providing essential data for streamflow estimation and river dynamics analysis. Traditional in situ methods like propeller gauges and acoustic Doppler current profilers are accurate but intrusive and labour‐intensive, while non‐intrusive image processing methods ...
Ghazaleh Nassaji Matin, Gareth Bradbury, Alan Puttock, Kirsty Frith, Diego Panici   +4 more
wiley   +1 more source

A landslide monitoring method using data from unmanned aerial vehicle and terrestrial laser scanning with insufficient and inaccurate ground control points

Journal of Rock Mechanics and Geotechnical Engineering
Non-contact remote sensing techniques, such as terrestrial laser scanning (TLS) and unmanned aerial vehicle (UAV) photogrammetry, have been globally applied for landslide monitoring in high and steep mountainous areas.
Jiawen Zhou, Nan Jiang, Congjiang Li, Haibo Li   +3 more
doaj   +1 more source

MULTI-GNSS PPP: An Alternative Positioning Technique for Establishing Ground Control Points

International Journal of Environment and Geoinformatics, 2020
Traditionally, ground control points (GCPs) are utilized to determine absolute image orientations indirectly in aerial triangulation. For a long time, differential and relative GNSS (Global Navigation Satellite System) positioning techniques have been ...
Berkay Bahadur, Metin Nohutçu
doaj   +1 more source

Influence of flight altitude and control points in the georeferencing of images obtained by unmanned aerial vehicle

European Journal of Remote Sensing, 2021
This study aimed to explore the influence of flight altitude, density, and distribution of ground control points (GCPs) on the digital terrain model (DTM) in surveys conducted by unmanned aerial vehicles (UAVs).
Lucas Santos Santana, Gabriel Araújo E Silva Ferraz, Diego Bedin Marin, Brenon Dienevam Souza Barbosa, Luana Mendes Dos Santos, Patrícia Ferreira Ponciano Ferraz, Leonardo Conti, Stefano Camiciottoli, Giuseppe Rossi   +8 more
doaj   +1 more source

Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers

Remote Sensing in Ecology and Conservation, EarlyView.
This research established a new object detection model based on YOLOv11 to recognise benthic organisms, specifically sea cucumbers, by utilising high‐resolution photogrammetric‐based orthomosaics acquired along infralittoral Mediterranean Sea beds. The model demonstrated impressive performance metrics and, when combined with the Deepness plugin for the
Gian Mario Sangiovanni, Giovanna Jona Lasinio, Daniele Poggio, Gianluca Mastrantonio, Alessio Pollice, Arnold Rakaj, Midhun Mohan, Stefano Moro, Edoardo Casoli, Daniele Ventura   +9 more
wiley   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source