Results 21 to 30 of about 132 (100)

Extraction of Micro-Doppler Feature Using LMD Algorithm Combined Supplement Feature for UAVs and Birds Classification [PDF]

Remote Sensing, 2022
In the past few decades, the demand for reliable and robust systems capable of monitoring unmanned aerial vehicles (UAVs) increased significantly due to the security threats from its wide applications.
Ting Dai, Shiyou Xu, Biao Tian, Jun Hu, Yue Zhang, Zengping Chen   +5 more
doaj   +3 more sources

Convolutional neural networks for radar HRRP target recognition and rejection

EURASIP Journal on Advances in Signal Processing, 2019
Robust and efficient feature extraction is critical for high-resolution range profile (HRRP)-based radar automatic target recognition (RATR). In order to explore the correlation between range cells and extract the structured discriminative features in ...
Jinwei Wan, Bo Chen, Bin Xu, Hongwei Liu, Lin Jin   +4 more
doaj   +2 more sources

A NUFFT Based Step-frequency Chirp Signal High Resolution Imaging Algorithm and Target Recognition Algorithm

Leida xuebao, 2015
Radar Automatic Target Recognition (RATR) is the key technique to be breaked through in the fuure development of intelligent weapon system. Compared to the 2-D SAR image target recognition, High Resolution Range Profile (HRRP) target recognition has the ...
Xiang Yin, Zhang Kai, Hu Cheng
doaj   +3 more sources

High-Resolution Radar Target Recognition via Inception-Based VGG (IVGG) Networks. [PDF]

Comput Intell Neurosci, 2020
Aiming at high‐resolution radar target recognition, new convolutional neural networks, namely, Inception‐based VGG (IVGG) networks, are proposed to classify and recognize different targets in high range resolution profile (HRRP) and synthetic aperture radar (SAR) signals. The IVGG networks have been improved in two aspects.
Wang W, Zhang C, Tian J, Wang X, Ou J, Zhang J, Li J.   +6 more
europepmc   +2 more sources

Radar High-Resolution Range Profile Rejection Based on Deep Multi-Modal Support Vector Data Description

Remote Sensing
Radar Automatic Target Recognition (RATR) based on high-resolution range profile (HRRP) has received intensive attention in recent years. In practice, RATR usually needs not only to recognize in-library samples but also to reject out-of-library samples ...
Yue Dong, Penghui Wang, Ming Fang, Yifan Guo, Lili Cao, Junkun Yan, Hongwei Liu   +6 more
doaj   +2 more sources

An Interpretable Target-Aware Vision Transformer for Polarimetric HRRP Target Recognition with a Novel Attention Loss

Remote Sensing
Polarimetric high-resolution range profile (HRRP), with its rich polarimetric and spatial information, has become increasingly important in radar automatic target recognition (RATR).
Fan Gao, Ping Lang, Chunmao Yeh, Zhangfeng Li, Dawei Ren, Jian Yang   +5 more
doaj   +2 more sources

Inverse Synthetic Aperture Radar Image Multi-Modal Zero-Shot Learning Based on the Scattering Center Model and Neighbor-Adapted Locally Linear Embedding

Remote Sensing
Inverse Synthetic Aperture Radar (ISAR) images are extensively used in Radar Automatic Target Recognition (RATR) for non-cooperative targets. However, acquiring training samples for all target categories is challenging. Recognizing target classes without
Xinfei Jin, Hongxu Li, Xinbo Xu, Zihan Xu, Fulin Su   +4 more
doaj   +2 more sources

MSDP-Net: A Multi-Scale Domain Perception Network for HRRP Target Recognition

Remote Sensing
High-resolution range profile (HRRP) recognition serves as a foundational task in radar automatic target recognition (RATR), enabling robust classification under all-day and all-weather conditions.
Hongxu Li, Xiaodi Li, Zihan Xu, Xinfei Jin, Fulin Su   +4 more
doaj   +2 more sources

Survey of Radar HRRP Target Recognition Based on Parametric Statistical Model

Leida xuebao, 2022
In the gradually becoming information-based and intelligent modern warfare, Radar Automatic Target Recognition (RATR) technology plays an increasingly important role in military applications, such as national security defense and strategic early warning.
Jian CHEN, Lan DU, Leiyao LIAO
doaj   +1 more source

Deep Learning Network for Classifying Target of Same Shape using RCS Time Series [PDF]

, 2021
The main intension of this work is to find the warhead and decoy classification and identification. Classification of radar target is one of the utmost imperatives and hardest practical problems in finding out the missile. Detection of target in the pool
Ibrahim Khalaf, Osamah, Narasimhamurthy, Rashmi   +1 more
core   +2 more sources