Comparative analysis of radar-cross-section-based UAV recognition techniques
This work investigates the problem of unmanned aerial vehicle (UAV) recognition using their
radar cross section (RCS) signature. The RCS of six commercial UAVs is measured at 15 …
radar cross section (RCS) signature. The RCS of six commercial UAVs is measured at 15 …
Comparative analysis of radar cross section based UAV classification techniques
This work investigates the problem of unmanned aerial vehicles (UAVs) identification using
their radar crosssection (RCS) signature. The RCS of six commercial UAVs are measured at …
their radar crosssection (RCS) signature. The RCS of six commercial UAVs are measured at …
Multiview imaging for low-signature target detection in rough-surface clutter environment
Forward-looking ground-penetrating radar (FL-GPR) permits standoff sensing of shallow in-
road threats. A major challenge facing this radar technology is the high rate of false alarms …
road threats. A major challenge facing this radar technology is the high rate of false alarms …
Target Localization and Wall Parameters Estimation via Distributed Through-Wall Imaging Radar
Y Yao, J Chen, S Guo, X Hao, N Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Through-wall imaging radar (TWIR) plays an important role in detecting concealed targets.
In particular, distributed TWIR can achieve a wider detection area than a single TWIR, and …
In particular, distributed TWIR can achieve a wider detection area than a single TWIR, and …
Minimax robust landmine detection using forward-looking ground-penetrating radar
We propose a robust likelihood-ratio test (LRT) to detect landmines and unexploded
ordnance using forward-looking ground-penetrating radar. Instead of modeling the …
ordnance using forward-looking ground-penetrating radar. Instead of modeling the …
[图书][B] UAV detection and classification using radar, radio frequency and machine learning techniques
MC Ezuma - 2022 - search.proquest.com
Unmanned aerial vehicles (UAVs or drones) have been receiving a lot of attention in civilian
space. Many small and low-cost UAVs are finding applications in areas such as commercial …
space. Many small and low-cost UAVs are finding applications in areas such as commercial …
Forward looking GPR-based landmine detection using a robust likelihood ratio test
We propose a robust likelihood ratio test to detect landmines using forward-looking ground
penetrating radar. Instead of modeling the distributions of the target and clutter returns with …
penetrating radar. Instead of modeling the distributions of the target and clutter returns with …
Gaussian mixture modeling approach for stationary human identification in through-the-wall radar imagery
We propose a Gaussian mixture model (GMM)-based approach to discriminate stationary
humans from their ghosts and clutter in through-the-wall radar images. More specifically, we …
humans from their ghosts and clutter in through-the-wall radar images. More specifically, we …
[PDF][PDF] 高斯-瑞利混合模型在遥感图像分割中的应用
侯一民， 唐玥， 孙晓雪， 隋文秀 - 光学学报, 2015 - researching.cn
摘要在遥感图像的众多分割方法中, 高斯混合模型(GMM) 是一种常用的图像建模方法.
提出了高斯 瑞利混合模型(GRMM) 可能更适合对遥感图像建模. 介绍了传统高斯混合模型和 …
提出了高斯 瑞利混合模型(GRMM) 可能更适合对遥感图像建模. 介绍了传统高斯混合模型和 …
Gaussian mixture model based features for stationary human identification in urban radar imagery
In this paper, we propose a Gaussian mixture model (GMM) based approach to discriminate
stationary humans from their ghosts and clutter in indoor radar images. More specifically, we …
stationary humans from their ghosts and clutter in indoor radar images. More specifically, we …