Results 31 to 40 of about 8,655 (261)

Non‐cooperative target recognition in multistatic radar systems

IET Radar, Sonar & Navigation, 2014
The ability to recognise quickly and reliably non‐cooperative targets is a primary issue in modern radar systems. The use of multistatic radars has already been demonstrated to improve sensibly the recognition capacity of a radar system, through the exploitation of its inherent spatial diversity, given by the presence of multiple observation channels ...
STINCO, PIETRO, GRECO, MARIA, GINI, FULVIO, La Manna M.   +3 more
openaire   +2 more sources

Multi-target Micro-motion Feature Extraction Based on Tracking Pulses in MIMO Radar

Leida xuebao, 2018
The micro-motion feature is one of the important characteristic information of spatial target recognition. However, the existing multifunctional Multi-Input Multi-Output (MIMO) radar usually has to allocate a large number of continuous time resources for
Luo Ying, Gong Yishuai, Chen Yijun, Zhang Qun   +3 more
doaj   +1 more source

Two-Stream Deep Fusion Network Based on VAE and CNN for Synthetic Aperture Radar Target Recognition

Remote Sensing, 2021
Usually radar target recognition methods only use a single type of high-resolution radar signal, e.g., high-resolution range profile (HRRP) or synthetic aperture radar (SAR) images. In fact, in the SAR imaging procedure, we can simultaneously obtain both
Lan Du, Lu Li, Yuchen Guo, Yan Wang, Ke Ren, Jian Chen   +5 more
doaj   +1 more source

A Deep Learning-Based Satellite Target Recognition Method Using Radar Data

Sensors, 2019
A novel satellite target recognition method based on radar data partition and deep learning techniques is proposed in this paper. For the radar satellite recognition task, orbital altitude is introduced as a distinct and accessible feature to divide ...
Wang Lu, Yasheng Zhang, Can Xu, Caiyong Lin, Yurong Huo   +4 more
doaj   +1 more source

Robust High Resolution Range Profile Recognition Method for Radar Targets in Noisy Environments

Leida xuebao, 2020
With the application of deep learning technology in the radar target recognition field, the automatic extraction of the target feature greatly improves the accuracy and robustness of the recognition, but its robustness in noisy environments needs to be ...
Weijie LI, Wei YANG, Xiang LI, Yongxiang LIU   +3 more
doaj   +1 more source

Computational Burden Resulting from Image Recognition of High Resolution Radar Sensors

Sensors, 2013
This paper presents a methodology for high resolution radar image generation and automatic target recognition emphasizing the computational cost involved in the process.
Elena Rufo, José L. Lázaro, Alfredo Gardel, Raúl Fernández-Recio, Ignacio Bravo, Patricia López-Rodríguez   +5 more
doaj   +1 more source

Localized High‐Concentration Electrolyte with Water‐Miscible Diluent Enables Stable Zinc Deposition and Long‐Life Aqueous Zinc Metal Batteries

Advanced Functional Materials, EarlyView.
A diisopropyl ether (DIPE)‐based, localized, high‐concentration electrolyte is developed to stabilize both electrodes in aqueous zinc batteries. By reducing water activity and promoting anion‐rich zinc‐ion solvation, it builds robust interphases at both the cathode and anode, ensuring uniform deposition, suppressed corrosion, and highly reversible ...
Yuxuan Wu, Ziwei Zhao, Yue Fei, Hao Zhang, Ge Li   +4 more
wiley   +1 more source

Unveiling Multidimensional Physicochemical Design Principles for Tissue Processing Hydrogels

Advanced Functional Materials, EarlyView.
This study establishes a materials‐based design framework for polymer hydrogels in tissue clearing, linking physicochemical properties to performance in tissue processing, labeling, and imaging. By analyzing rheology, swelling, porosity, antibody diffusion, mechanical performance, and thermochemical stability across platforms, this work provides a ...
Sangjae Kim, Siheon Lee, Jinsoo Na, James Sangmin Choo, Inho Kim, Junsang Doh, Jeong‐Yun Sun, Chang Yeol Lee, Juhyuk Park   +8 more
wiley   +1 more source

Modal ordered shape factors as radar feature set

IET Radar, Sonar & Navigation
The characteristic polarisation states form a second layer feature set by reflecting shape attributes about that target, enabling better identification performance of the resonance signature.
Salem Salamah, Faisal Aldhubaib
doaj   +1 more source

Data Separability Metric to Evaluate Radar Target Recognition

Leida xuebao, 2023
The performance of machine learning-based radar target recognition models is determined by the respective model and data to be analyzed. Currently, radar target recognition performance evaluation is based on accuracy metrics, but this method does not ...
Weidong JIANG, Lingyan XUE, Xinyu ZHANG
doaj   +1 more source