Results 41 to 50 of about 3,557 (290)

Enhancing SEM signature via bistatic radar configuration of small bisectors

IET Radar, Sonar & Navigation, 2022
The paper assesses the feasibility of finding bistatic directions of minimum bisectors subject to resonant frequency and polarisation diversities to improve the robustness of the resonance signature when extracted from the late time radar response.
Faisal Aldhubaib
doaj   +1 more source

Soft Segmented Randomization: Enhancing Domain Generalization in SAR ATR for Synthetic-to-Measured

IEEE Access
Synthetic aperture radar technology is crucial for high-resolution imaging under various conditions; however, the acquisition of real-world synthetic aperture radar data for deep learning-based automatic target recognition remains challenging due to high
Minjun Kim, Ohtae Jang, Haekang Song, Heesub Shin, Jaewoo Ok, Minyoung Back, Jaehyuk Youn, Sungho Kim   +7 more
doaj   +1 more source

Deep neural network design for SAR/ISAR-based automatic target recognition

, 2022
S.243-277The automatic recognition of targets with radar is an ongoing research field for many years already. Since 2014, a new methodology based on deep neural networks is becoming more established within this field.
Brüggenwirth, S., Wagner, S.
core   +1 more source

Study on ISAR imaging for forward-looking missile-borne millimetre wave radar

The Journal of Engineering, 2019
Target recognition is a challenging problem in air-to-surface terminal guidance for missile-borne millimetre wave radar (MWR). The class of high range resolution profile (HRRP)-based automatic target recognition approaches is sensitive to the attitude of
Cai Wen, Jiang Zhu, Yan Zhou, Jinye Peng
doaj   +1 more source

Support subspaces method for synthetic aperture radar automatic target recognition

International Journal of Advanced Robotic Systems, 2016
This article offers a new object recognition approach that gives high quality using synthetic aperture radar images. The approach includes image preprocessing, clustering and recognition stages.
Vladimir Fursov, Denis Zherdev, Nikolay Kazanskiy   +2 more
doaj   +1 more source

Dynamic Gesture Recognition with a Terahertz Radar Based on Range Profile Sequences and Doppler Signatures

Sensors, 2017
The frequency of terahertz radar ranges from 0.1 THz to 10 THz, which is higher than that of microwaves. Multi-modal signals, including high-resolution range profile (HRRP) and Doppler signatures, can be acquired by the terahertz radar system.
Zhi Zhou, Zongjie Cao, Yiming Pi
doaj   +1 more source

Adaptive Target Enhancer : Bridging the Gap between Synthetic and Measured SAR Images for Automatic Target Recognition

, 2023
Automatic target recognition (ATR) algorithms have been successfully used for vehicle classification in synthetic aperture radar (SAR) images over the past few decades.
Pettersson, Mats I., Campos, Alexandre B.,, Becker Campos, Alexandre, Diniz Dal Molin Junior, Ricardo Simao, Molin, Ricardo D.,, Ramos, Lucas P., MacHado, Renato, Pettersson, Mats, Vu, Viet T., Molin, Ricardo D., Ramos, Lucas P.,, MacHado, Renato,, Vu, Viet Thuy,, Campos, Alexandre B., Pettersson, Mats,, Vu, Viet Thuy   +15 more
core   +1 more source

Incremental learning using feature labels for synthetic aperture radar automatic target recognition

IET Radar, Sonar & Navigation, 2022
Although deep neural network technology brings high recognition accuracy to the field of synthetic aperture radar image‐based automatic target recognition, it also produces the catastrophic forgetting problem. Here, a new incremental learning method that
Chao Hu, Ming Hao, Wenying Wang, Yong Yang, Daoqing Wu   +4 more
doaj   +1 more source

C-RISE: A Post-Hoc Interpretation Method of Black-Box Models for SAR ATR

Remote Sensing, 2023
The integration of deep learning methods, especially Convolutional Neural Networks (CNN), and Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) has been widely deployed in the field of radar signal processing.
Mingzhe Zhu, Jie Cheng, Tao Lei, Zhenpeng Feng, Xianda Zhou, Yuanjing Liu, Zhihan Chen   +6 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source