Results 51 to 60 of about 48,067 (197)
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 +4 more
doaj +1 more source
Radar shadow detection in SAR images using DEM and projections
, 2013 Synthetic aperture radar (SAR) images are widely used in target recognition tasks nowadays. In this letter, we propose an automatic approach for radar shadow detection and extraction from SAR images utilizing geometric projections along with the digital ...
Haddad, O., Prasath, V. B. S.
core +2 more sources
A Multiple Migration and Stacking Algorithm Designed for Land Mine Detection [PDF]
, 2014 This paper describes a modification to a standard migration algorithm for land mine detection with a ground-penetrating radar (GPR) system. High directivity from the antenna requires a significantly large aperture in relation to the operating wavelength,
Daniels, David +2 more
core +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 +6 more
doaj +1 more source
Remote Sensing, 2019 Aiming at the problem of the difficulty of high-resolution synthetic aperture radar (SAR) image acquisition and poor feature characterization ability of low-resolution SAR image, this paper proposes a method of an automatic target recognition method for ...
Xiaoran Shi +4 more
doaj +1 more source
Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures [PDF]
, 2018 Dynamic hand gesture recognition is of great importance in human-computer interaction. In this study, the authors investigate the effect of sparsity-driven time-frequency analysis on hand gesture classification.
Fioranelli, Francesco +3 more
core +1 more source
Multi-Aspect SAR Target Recognition Based on Non-Local and Contrastive Learning
Mathematics, 2023 Synthetic aperture radar (SAR) automatic target recognition (ATR) has been widely applied in multiple fields. However, the special imaging mechanism of SAR results in different visual features of the same target at different azimuth angles, so single ...
Xiao Zhou +4 more
doaj +1 more source
A New MCMC Sampling Based Segment Model for Radar Target Recognition [PDF]
, 2015 One of the main tools in radar target recognition is high resolution range profile (HRRP). However, it is very sensitive to the aspect angle. One solution to this problem is to assume the consecutive samples of HRRP identically independently ...
Hadavi, M., Nayebi, M. M., Radmard, M.
core +4 more sources
Deep-Learning for Radar: A Survey
IEEE Access, 2021 A comprehensive and well-structured review on the application of deep learning (DL) based algorithms, such as convolutional neural networks (CNN) and long-short term memory (LSTM), in radar signal processing is given.
Zhe Geng +3 more
doaj +1 more source
Shared Representation of SAR Target and Shadow Based on Multilayer Auto-encoder
Leida xuebao, 2013 Automatic Target Recognition (ATR) of Synthetic Aperture Radar (SAR) image is investigated. A SAR feature extraction algorithm based on multilayer auto-encoder is proposed.
Sun Zhi-jun +3 more
doaj +1 more source