Results 61 to 70 of about 797,596 (216)

Radar High-resolution Range Profile Target Recognition Based on Attention Mechanism and Bidirectional Gated Recurrent

open access: yesLeida 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

Generalized Zero-Shot Space Target Recognition Based on Global-Local Visual Feature Embedding Network

open access: yesRemote Sensing, 2023
Existing deep learning-based space target recognition methods rely on abundantly labeled samples and are not capable of recognizing samples from unseen classes without training.
Yuanpeng Zhang   +5 more
doaj   +1 more source

High Accuracy Profile Measurement With a New Virtual Multi-Probe Scanning System

open access: yesIEEE Access, 2020
We present a novel virtual multi-probe scanning system and a new error separation method for the exact optical profile reconstruction. The system realized the multi-probe function by a single probe that fixed on a flexible hinge stage. The flexible hinge
Ning Chai, Ziqiang Yin, Jianhua Yao
doaj   +1 more source

Convolutional neural networks-based ship target recognition using high resolution range profiles

open access: yes2017 18th International Radar Symposium (IRS), 2017
In this paper, convolutional neural networks (CNN)-based ship target recognition is studied by exploiting the targets' high resolution range profiles (HRRPs). Contrary to conventional procedures employing hand-crafted features, by designing an appropriate CNN scheme, features are learned automatically in order through convolutional layers and ...
Karabayir, Osman   +3 more
openaire   +2 more sources

Radar HRRP Target Recognition Based on Deep One-Dimensional Residual-Inception Network

open access: yesIEEE Access, 2019
A novel radar target recognition method based on the deep one-dimensional residual-inception network is proposed for a high-resolution range profile (HRRP).
Chen Guo   +4 more
doaj   +1 more source

Limited Sample Radar HRRP Recognition Using FWA-GAN

open access: yesRemote Sensing
In radar High-Resolution Range Profile (HRRP) target recognition, the targets of interest are always non-cooperative, posing a significant challenge in acquiring sufficient samples.
Yiheng Song, Liang Zhang, Yanhua Wang
doaj   +1 more source

Method for compensating bandwidth error of synthetic wideband radar signal

open access: yesThe Journal of Engineering, 2019
The synthetic wideband signal has the advantages of high range and velocity resolution. It has a wide range of applications in target detection and recognition.
Xiaoxin Han   +3 more
doaj   +1 more source

Super-Resolution Reconstruction of an Array Lidar Range Profile

open access: yesApplied Sciences
Aiming at the problem that the range profile of the current array lidar has a low resolution and contains few target details and little edge information, a super-resolution reconstruction method based on projection onto convex sets (POCS) combining the ...
Xuelian Liu   +5 more
doaj   +1 more source

Aspects of Radar Imaging Using Frequency-Stepped Chirp Signals

open access: yesEURASIP Journal on Advances in Signal Processing, 2006
The high-resolution, frequency-stepped chirp signal can be applied to radar systems employing narrow-bandwidth chirp pulses, in order to enhance the range resolution, and to implement SAR/ISAR imaging capabilities.
Jin Ya-Qiu, Zhang Qun
doaj   +1 more source

Enhancing Scattering Center Visibility for ISAR-Based Ballistic Missile Identification [PDF]

open access: yesJournal of Electromagnetic Engineering and Science
The immense threat posed by ballistic missiles has prompted many nations to develop ballistic missile defense systems. To operate these defense systems effectively, it is essential to quickly identify the missile type in flight and prioritize responses ...
Jaehyuk Kang   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy