Results 41 to 50 of about 3,862 (189)

A Prediction Method of Electromagnetic Environment Effects for UAV LiDAR Detection System

Complexity, 2021
With the rapid development of science and technology, UAVs (Unmanned Aerial Vehicles) have become a new type of weapon in the informatization battlefield by their advantages of low loss and zero casualty rate. In recent years, UAV navigation electromagnetic decoy and electromagnetic interference crashes have activated widespread international attention.
Min Huang 0012, Dandan Liu, Liyun Ma, Jingyang Wang, Yuming Wang, Yazhou Chen   +5 more
openaire   +2 more sources

Fusion of Visual-Inertial Odometry With LiDAR Relative Localization for Cooperative Guidance of a Micro-Scale Aerial Vehicle

IEEE Access
A novel relative localization approach for guidance of a micro-scale Unmanned Aerial Vehicle (UAV) by a well-equipped aerial robot fusing Visual-Inertial Odometry (VIO) with Light Detection and Ranging (LiDAR) is proposed in this paper.
Vaclav Pritzl, Matous Vrba, Petr Stepan, Martin Saska   +3 more
doaj   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

THE DESIGN AND TESTING OF A LIDAR PLATFORM FOR A UAV FOR HERITAGE MAPPING [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
In the discovering, identifying and mapping work of heritage objects in forest or desert areas, LiDAR ensures work efficiency and can provide the most complete and accurate 3D data.
Z. Li, Y. Yan, Y. Jing, S. G. Zhao
doaj   +1 more source

Optimizing Strategies for Non‐Invasive Prospection of Settlements in the Intertidal Zone: A Case Study From the Centre of the Drowned Medieval Village of Tolsende (Scheldt Estuary, the Netherlands)

Archaeological Prospection, EarlyView.
ABSTRACT Medieval and early modern drowned villages in the intertidal zone of the Scheldt estuary (the Netherlands) constitute intriguing yet largely understudied components of north‐western Europe's underwater cultural heritage. Despite their high archaeological potential as time capsules of past settlement landscapes, research has remained limited ...
Jan Trachet, Sarah Bäumler, Stefan Krojer, Jeroen Verhegge, Wim De Clercq, Philippe De Smedt, Wouter H. Maes, Bente S. Majchczack, Immo Trinks, Dennis Wilken   +9 more
wiley   +1 more source

Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq, Bo Zhang, Bastian Leander Franzisky, Tasawer Abbas, Jochen Taiber, Martin Koch, Ian C Dodd, Christoph‐Martin Geilfus   +7 more
wiley   +1 more source

Accuracy Assessment of Deep Learning Based Classification of LiDAR and UAV Points Clouds for DTM Creation and Flood Risk Mapping

Geosciences, 2019
Digital elevation model (DEM) has been frequently used for the reduction and management of flood risk. Various classification methods have been developed to extract DEM from point clouds.
Gordana Jakovljevic, Miro Govedarica, Flor Alvarez-Taboada, Vladimir Pajic   +3 more
doaj   +1 more source

Flood video segmentation on remotely sensed UAV using improved Efficient Neural Network

ICT Express, 2022
Semantic segmentation can be used to analyze the video data taken by UAV in the flood monitoring system. An accurate analysis can help rescue teams to assess and mitigate flood disasters.
Naili Suri Inthizami, M. Anwar Ma’sum, Machmud R. Alhamidi, Ahmad Gamal, Ronni Ardhianto, Kurnianingsih, Wisnu Jatmiko   +6 more
doaj   +1 more source

Internal Permafrost Structure of Geomorphologically Distinct Palsas in Northern Sweden Revealed by Quasi‐3D ERT

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT Permafrost in northern peatlands occurs within individual palsas or extensive peat plateaus and controls local carbon storage. These permafrost landforms are complex, and their internal structure remains poorly understood. We used quasi‐3D electrical resistivity tomography (ERT) measurements, supported by UAV‐LiDAR topography, frost probing ...
Cas Renette, Mirko Pavoni, Mauricio Fuentes, Erik Sturkell, Mats Olvmo, Heather Reese   +5 more
wiley   +1 more source

Robotics for Crop Pollination: Recent Advances and Future Direction

Journal of Field Robotics, EarlyView.
ABSTRACT There is great interest in alternative pollination strategies for crop production in the face of climate change and perennial threats to the traditional pollination mechanisms. This review explores the potential of robotic pollination as a promising solution to these challenges affecting crop fertilization, agricultural sustainability, and ...
Ranjan Sapkota, Matthew D. Whiting, Dawood Ahmed, Manoj Karkee   +3 more
wiley   +1 more source