CRRFNet: An adaptive traffic object detection method based on camera and radar radio frequency fusion
W Wang, W Zhang - Transportation Research Part C: Emerging …, 2024 - Elsevier
A large number of studies have proved that camera and radar fusion is a useful and
economical solution for traffic object detection. However, how to improve the reliability and …
economical solution for traffic object detection. However, how to improve the reliability and …
A novel CFAR-based ship detection method using range-compressed data for spaceborne SAR system
C Wang, B Guo, J Song, F He… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Spaceborne synthetic aperture radar (SAR) image ship detection is an important tool to
ensure the safety of sea areas and improve the efficiency of maritime traffic. Due to the …
ensure the safety of sea areas and improve the efficiency of maritime traffic. Due to the …
Exploring Spatial Feature Regularization in Deep-Learning-Based TomoSAR Reconstruction: A Preliminary Study and Performance Analysis
Tomographic synthetic aperture radar (tomoSAR) shows great potential for high-quality 3D
mapping, especially in urban areas. As tomoSAR reconstruction methods advance into the …
mapping, especially in urban areas. As tomoSAR reconstruction methods advance into the …
A Lightweight SAR Ship Detection Network Based on Deep Multi-scale Grouped Convolution, Network Pruning and Knowledge Distillation
B Hu, H Miao - IEEE Journal of Selected Topics in Applied …, 2024 - ieeexplore.ieee.org
Deep learning has proven to be highly effective in synthetic aperture radar (SAR) image
target detection. However, many latest deep learning models have predominantly focused …
target detection. However, many latest deep learning models have predominantly focused …
ADMM-1DNet: Online Monitoring Method for Outdoor Mechanical Equipment Part Signals Based on Deep Learning and Compressed Sensing
J Hu, J Guo, Z Rui, Z Wang - Applied Sciences, 2024 - mdpi.com
To solve the problem that noise seriously affects the online monitoring of parts signals of
outdoor machinery, this paper proposes a signal reconstruction method integrating deep …
outdoor machinery, this paper proposes a signal reconstruction method integrating deep …
A New Extended Target Detection Method Based on the Maximum Eigenvalue of the Hermitian Matrix
Y Xu, Y Zhu, Z Song - Remote Sensing, 2024 - mdpi.com
In the field of radar target detection, the conventional approach is to employ the range profile
energy accumulation method for detecting extended targets. However, this method becomes …
energy accumulation method for detecting extended targets. However, this method becomes …
Multi-Subband-GRFT-based Space Target Imaging Algorithm with Low SNR in Stepped Frequency Carrier LFM Radar
To achieve high-resolution imaging of distant space target, stepped frequency carrier linear
frequency modulation (SFCLFM) radar can be used for prolong observation. In such …
frequency modulation (SFCLFM) radar can be used for prolong observation. In such …
A Learning Bayesian MAP Framework for Joint SAR Imaging and Target Detection
H An, J Yang, Y Xiao, M Li, H Zuo, Z Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In synthetic aperture radar (SAR) information acquisition, target detection is often performed
on the basis of the acquired radar images. Under low signal-to-clutter ratio (SCR) or low …
on the basis of the acquired radar images. Under low signal-to-clutter ratio (SCR) or low …
Data-driven SAR image reconstruction method using ADMM with deep plug-and-play priors
Z Wang, Y Wei, Z Ding, X Shan… - IET International Radar …, 2023 - ieeexplore.ieee.org
Synthetic Aperture Radar (SAR) image reconstruction fundamentally constitutes an ill-posed
reconstruction conundrum, with the overarching objective of faithfully restoring …
reconstruction conundrum, with the overarching objective of faithfully restoring …