Results 1 to 10 of about 993,247 (318)
Multi-Resolution STAP for Enhanced Ultra-Low-Altitude Target Detection [PDF]
In this paper, an ultra-low-altitude target (ULAT) detection approach, referred to as the multi-resolution space-time adaptive processing (STAP), is proposed to enhance the target detection performance in a missile-borne radar system. In this respect, the whole base band is divided into a series of equal-width and center-frequency-diverse sub-bands ...
Haodong Li 0004 +5 more
doaj +6 more sources
Low-Altitude Target Detection Method Based on Distributed Sensor Networks
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 surveillance and small-scale key control of low-altitude targets.
Xin Du +3 more
doaj +4 more sources
SMYOLO: Lightweight Pedestrian Target Detection Algorithm in Low-Altitude Scenarios [PDF]
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
doaj +4 more sources
Target Detection of Low-Altitude UAV Based on Improved YOLOv3 Network
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
doaj +3 more sources
Low-Altitude Infrared Slow-Moving Small Target Detection via Spatial-Temporal Features Measure
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 +4 more sources
The composite electromagnetic (EM) scattering characteristics of low-altitude target above valley composite rough surface are studied. The composite rough surface modeling theory is adopted to simulate the natural cavity structure of valley environment ...
Gaoxiang Zou +4 more
doaj +2 more sources
Research on an Urban Low-Altitude Target Detection Method Based on Image Classification
With the expansion of the civil UAV (Unmanned Aerial Vehicle) market, UAVs are also increasingly being used in illegal activities such as espionage and snooping on privacy. Therefore, how to effectively control the activities of UAVs in cities has become
Haiyan Jin +3 more
semanticscholar +3 more sources
The search for low-altitude targets becomes a more challenging task for airborne phased array radar, due to the limited system resources and serious ground clutter.
Jiawei Luo +6 more
doaj +2 more sources
The Ballistic Design of Intercepting the Ultra-low Altitude Target
According to the multipath effect problem that the missile intercepts the ultra-low altitude target, when the grazing angle near the Brewster Angle, the reflection coefficient of clutter reach the minimum, and the precision of guidance is higher. To ensure that the missile can intercept the target effectively under the vertical launch condition, a ...
Xinpeng Ma +3 more
openaire +2 more sources
LAT-BirdDrone: A dedicated dataset for high-precision classification of low-altitude small target trajectories enhanced by hybrid neural networks. [PDF]
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.
Ke M, Kang X, Zhang Z, Wang L, Wang G.
europepmc +2 more sources

