Results 1 to 10 of about 93,870 (317)

The DOA Estimation Method for Low-Altitude Targets under the Background of Impulse Noise [PDF]

open access: goldSensors, 2022
Due to the discontinuity of ocean waves and mountains, there are often multipath propagation effects and obvious pulse characteristics in low-altitude detection.
Bin Lin   +4 more
doaj   +8 more sources

Data-Fusion-Based Algorithm for Assessing Threat Levels of Low-Altitude and Slow-Speed Small Targets [PDF]

open access: goldSensors
Low-Altitude and Slow-Speed Small (LSS) targets pose significant challenges to air defense systems due to their low detectability and complex maneuverability.
Wei Wu   +4 more
doaj   +6 more sources

Low-Altitude Target Detection Method Based on Distributed Sensor Networks [PDF]

open access: goldIEEE Access, 2022
With the widespread application of low-altitude targets, it is absolutely necessary to monitor and control their use. The effective detection of targets is the basis for such control, and existing detection methods are still inadequate for large-scale ...
Xin Du   +3 more
doaj   +3 more sources

LAT-BirdDrone: A dedicated dataset for high-precision classification of low-altitude small target trajectories enhanced by hybrid neural networksScienceDB [PDF]

open access: goldData in Brief
Currently, most existing datasets predominantly focus on object classification based on appearance, while datasets specifically designed for trajectory classification of low-altitude flying micro-targets (11pt × 11pt or smaller) remain scarce.
Ming Ke   +4 more
doaj   +3 more sources

Elevation Estimation Algorithm for Low-Altitude Targets in Multipath Environment [PDF]

open access: diamondJournal of Electromagnetic Engineering and Science
The algorithm proposed in this study estimates the multipath elevation of targets at low altitudes, including near-zero elevation. Although the double null algorithm is a maximum likelihood elevation estimation algorithm, it diverges when the target ...
Daihyun Kwon   +5 more
doaj   +3 more sources

Detection of low-altitude infrared small targets for UAVs using a density-based artificial bee colony algorithm [PDF]

open access: goldScientific Reports
The objective of this paper is to address the issue of the inadequate detection accuracy of UAVs operating at low-altitudes in conditions of weak thermal signals.
Haixia Wang, Hailong Wang, Fen Han
doaj   +4 more sources

A mini radar system for low altitude targets detection [PDF]

open access: green2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2017
This paper deals with a mini radar system aimed at detecting small targets at the low latitude. The radar operates at Ku-band in the frequency modulated continuous wave (FMCW) mode with two receiving channels. The radar system has the characteristics of compactness, mobility, and low power consumption.
Kangkang Wu, Kaizhi Wang, Xingzhao Liu
openaire   +2 more sources

Low-Altitude Infrared Slow-Moving Small Target Detection via Spatial-Temporal Features Measure [PDF]

open access: goldSensors, 2022
Robust detection of infrared slow-moving small targets is crucial in infrared search and tracking (IRST) applications such as infrared guidance and low-altitude security; however, existing methods easily cause missed detection and false alarms when ...
Jing Mu   +3 more
doaj   +2 more sources

SMYOLO: Lightweight Pedestrian Target Detection Algorithm in Low-Altitude Scenarios [PDF]

open access: goldFuture Internet, 2022
Due to the arbitrariness of the drone’s shooting angle of view and camera movement and the limited computing power of the drone platform, pedestrian detection in the drone scene poses a greater challenge. This paper proposes a new convolutional neural network structure, SMYOLO, which achieves the balance of accuracy and speed from three aspects: (1) By
Weiwei Zhang   +4 more
openaire   +4 more sources

Target Detection of Low-Altitude UAV Based on Improved YOLOv3 Network [PDF]

open access: goldJournal of Robotics, 2022
Most existing methods are difficult to detect low-altitude and fast-moving drones. A low-altitude unmanned aerial vehicle (UAV) target detection method based on an improved YOLOv3 network is proposed. While keeping the basic framework of the original model unchanged, the YOLOv3 model is improved.
HaiQing Zhai, Yang Zhang 0087
openaire   +3 more sources

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