Results 41 to 50 of about 97 (71)
Polarimetric radar target recognition framework based on LSTM
The Journal of Engineering, Volume 2019, Issue 21, Page 8089-8092, November 2019., 2019 Polarimetric information is of great importance for radar target recognition. Conventional polarimetric features are hand‐designed based on scattering mechanism. In this study, a novel polarimetric target recognition framework based on long–short‐term memory (LSTM) network is proposed.
Wei Chen +4 more
wiley +1 more source
HRRPGraphNet: Make HRRPs to be graphs for efficient target recognition
Electronics Letters, Volume 60, Issue 22, November 2024.Conventional techniques for High‐Resolution Range Profiles (HRRP) target recognition frequently encounter difficulties due limited data under non‐cooperated circumstances. We propose a novel use of graph‐theory of HRRPs and convert traditional sequence‐based recognition into a sophisticated graph classification task to achieve efficient target ...
Lingfeng Chen +7 more
wiley +1 more source
Radar data simulation using deep generative networks
The Journal of Engineering, Volume 2019, Issue 20, Page 6699-6702, October 2019., 2019 Due to the high cost of real experiments, radar data simulation plays an important role in radar applications. However, the accuracy and the calculation speed of existing simulation methods is limited by the model error and the heavy calculation of electromagnetic simulation.
Yiheng Song, Yanhua Wang, Yang Li
wiley +1 more source
Adaptive soft threshold transformer for radar high‐resolution range profile target recognition
IET Radar, Sonar &Navigation, Volume 18, Issue 8, Page 1260-1273, August 2024.Aiming to target areas localisation and background noise, a framework termed Adaptive Soft Threshold Transformer (ASTT) is proposed for radar HRRP target recognition, which comprises a PE layer, ASTT blocks, and DWPM layers. Experiments based on a simulated dataset and a measured dataset show that the proposed ASTT has excellent target recognition ...
Siyu Chen, Xiaohong Huang, Weibo Xu
wiley +1 more source
Leida xuebao, 2019 To address the problem of radar High-Resolution Range Profile (HRRP) target recognition, traditional methods only consider the envelope information of the sample and ignore the temporal correlation between the range cells.
LIU Jiaqi, CHEN Bo, JIE Xi
doaj +1 more source
Remote SensingHigh-Resolution Range Profile (HRRP) represents the electromagnetic backscattering distribution of targets and plays a pivotal role in remote-sensing-based Automatic Target Recognition (RATR).
Shuai Li +3 more
doaj +1 more source
Semantics- and Physics-Guided Generative Network for Radar HRRP Generalized Zero-Shot Recognition
Remote SensingHigh-resolution range profile (HRRP) target recognition has garnered significant attention in radar automatic target recognition (RATR) research for its rich structural information and low computational costs. With the rapid advancements in deep learning,
Jiaqi Zhou +5 more
doaj +1 more source
Reconnaissance de formes et d objets en environnement incertain (application à la reconnaissance de cibles radar) [PDF]
, 2010 La reconnaissance automatique de cibles radar trouve de nombreuses applications en environnement incertain aérien et maritime. Par exemple, pour le cas du trafic des navires qui devient de plus en plus important, et pour le cas des risques de pollution ...
ABOUTAJDINE, Driss +2 more
core
Remote SensingHigh-Resolution Range Profile (HRRP) radar recognition suffers from data scarcity challenges in real-world applications. We present HRRPGraphNet++, a framework combining dynamic graph neural networks with meta-learning for few-shot HRRP recognition.
Lingfeng Chen +3 more
doaj +1 more source
Robust Automatic Target Recognition via HRRP Sequence Based on Scatterer Matching. [PDF]
Sensors (Basel), 2018 Jiang Y, Li Y, Cai J, Wang Y, Xu J.
europepmc +1 more source