Results 11 to 20 of about 12,860 (259)
SA-NET.V2: REAL-TIME VEHICLE DETECTION FROM OBLIQUE UAV IMAGES WITH USE OF UNCERTAINTY ESTIMATION IN DEEP META-LEARNING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 In recent years, unmanned aerial vehicle (UAV) imaging is a suitable solution for real-time monitoring different vehicles on the urban scale. Real-time vehicle detection with the use of uncertainty estimation in deep meta-learning for the portable ...
M. Khoshboresh-Masouleh +1 more
doaj +1 more source
Information and Telecommunication Sciences, 2021 Background. Technologies for the production of unmanned aerial vehicles (UAVs) of various classes are rapidly developing in Ukraine and the world. Small in terms of weight and dimensions and almost invisible for most information and measurement systems ...
Микола Руженцев +6 more
doaj +1 more source
UAV-Pose: A Dual Capture Network Algorithm for Low Altitude UAV Attitude Detection and Tracking
IEEE Access, 2023 This paper presents a low-altitude unmanned aerial vehicle (UAV) attitude detection and tracking algorithm, named UAV-Pose. In the context of low-altitude UAV countermeasure tasks, precise attitude detection and tracking are crucial for achieving laser ...
Jiang You +3 more
doaj +1 more source
A Survey of Object Detection for UAVs Based on Deep Learning
Remote Sensing, 2023 With the rapid development of object detection technology for unmanned aerial vehicles (UAVs), it is convenient to collect data from UAV aerial photographs.
Guangyi Tang +4 more
doaj +1 more source
A Novel Unsupervised Change Detection Method with Structure Consistency and GFLICM Based on UAV Images [PDF]
Journal of Geodesy and Geoinformation Science, 2022 With the rapid development of Unmanned Aerial Vehicle (UAV) technology, change detection methods based on UAV images have been extensively studied. However, the imaging of UAV sensors is susceptible to environmental interference, which leads to great ...
Wensong LIU,Xinyuan JI,Jie LIU,Fengcheng GUO,Zongqiao YU
doaj +1 more source
Remote Sensing, 2020 Unmanned aerial vehicle (UAV) remote sensing and deep learning provide a practical approach to object detection. However, most of the current approaches for processing UAV remote-sensing data cannot carry out object detection in real time for emergencies,
Lingxuan Meng +6 more
doaj +1 more source
UAVSwarm Dataset: An Unmanned Aerial Vehicle Swarm Dataset for Multiple Object Tracking
Remote Sensing, 2022 In recent years, with the rapid development of unmanned aerial vehicles (UAV) technology and swarm intelligence technology, hundreds of small-scale and low-cost UAV constitute swarms carry out complex combat tasks in the form of ad hoc networks, which ...
Chuanyun Wang +4 more
doaj +1 more source
A TOOL TO ENHANCE THE CAPACITY FOR DEEP LEARNING BASED OBJECT DETECTION AND TRACKING WITH UAV DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Currently, deployment of UAV has transformed from crucial to day-to-day scenarios for various purposes such as wastage collection, live entertainment, product delivery, town mapping, etc. Object tracking based UAV applications such as traffic monitoring,
A. A. Micheal +3 more
doaj +1 more source
High-Quality Object Detection Method for UAV Images Based on Improved DINO and Masked Image Modeling
Remote Sensing, 2023 The extensive application of unmanned aerial vehicle (UAV) technology has increased academic interest in object detection algorithms for UAV images.
Wanjie Lu +6 more
doaj +1 more source
HollowBox: An anchor‐free UAV detection method
IET Image Processing, 2022 Unmanned aerial vehicles (UAV) “black flight” incidents cause serious security risks and economic losses to airports. Additionally, existing UAV detection methods are mainly radar technology at airports.
Shanliang Liu, Jingyi Qu, Renbiao Wu
doaj +1 more source