Results 41 to 50 of about 48,420 (287)
Fusing Deep Learning and Sparse Coding for SAR ATR [PDF]
, 2018 We propose a multimodal and multidiscipline data fusion strategy appropriate for automatic target recognition (ATR) on synthetic aperture radar imagery. Our architecture fuses a proposed clustered version of the AlexNet convolutional neural network with ...
Aouf, N., Kechagias-Stamatis, O.
core +2 more sources
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 +2 more
doaj +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
Sparse representation-based synthetic aperture radar imaging [PDF]
, 2011 There is increasing interest in using synthetic aperture radar (SAR) images in automated target recognition and decision-making tasks. The success of such tasks depends on how well the reconstructed SAR images exhibit certain features of the underlying ...
Cetin, Mujdat +3 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 +4 more
doaj +1 more source
Gait Analysis of Horses for Lameness Detection with Radar Sensors [PDF]
, 2017 This paper presents the preliminary investigation of the use of radar signatures to detect and assess lameness of horses and its severity. Radar sensors in this context can provide attractive contactless sensing capabilities, as a complementary or ...
Fioranelli, F. +4 more
core +1 more source
South African Journal of Industrial Engineering, 2013 During combat, measuring the dimensions of targets is extremely important for knowing when to fire on the enemy. The importance of identifying a known target on land emphasizes the importance of techniques devoted to automatic target recognition ...
Göztepe, K.
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 +6 more
doaj +1 more source
Animal lameness detection with radar sensing [PDF]
, 2018 Lameness is a significant problem for performance horses and farmed animals, with severe impact on animal welfare and treatment costs. Lameness is commonly diagnosed through subjective scoring methods performed by trained veterinary clinicians, but ...
Busin, Valentina +9 more
core +1 more source
Cyclic Olefin Copolymers as Versatile Materials for Advanced Engineering Applications
Advanced Functional Materials, EarlyView.Cyclic olefin copolymers (COCs) are presented as highly versatile materials combining tunable synthesis, excellent optical properties, and mechanical robustness. Their potential spans microfluidics, bioengineering, and advanced electronics, while emerging self‐healing and sustainable solutions highlight future opportunities.
Giulia Fredi +3 more
wiley +1 more source