Results 11 to 20 of about 824,134 (332)
Radar Target Characterization and Deep Learning in Radar Automatic Target Recognition: A Review
Remote Sensing, 2023 Radar automatic target recognition (RATR) technology is fundamental but complicated system engineering that combines sensor, target, environment, and signal processing technology, etc.
Wen Jiang +4 more
semanticscholar +3 more sources
A Complete Automatic Target Recognition System of Low Altitude, Small RCS and Slow Speed (LSS) Targets Based on Multi-Dimensional Feature Fusion [PDF]
Sensors, 2019 Low altitude, small radar cross-section (RCS), and slow speed (LSS) targets, for example small unmanned aerial vehicles (UAVs), have become increasingly significant. In this paper, we propose a new automatic target recognition (ATR) system and a complete
Qi Wu, Jie Chen, Yue Lu, Yue Zhang
doaj +2 more sources
Automatic target recognition based on cross-plot. [PDF]
PLoS One, 2011 Automatic target recognition that relies on rapid feature extraction of real-time target from photo-realistic imaging will enable efficient identification of target patterns. To achieve this objective, Cross-plots of binary patterns are explored as potential signatures for the observed target by high-speed capture of the crucial spatial features using ...
Wong KK, Abbott D.
europepmc +6 more sources
Open-Set Automatic Target Recognition [PDF]
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 Automatic Target Recognition (ATR) is a category of computer vision algorithms which attempts to recognize targets on data obtained from different sensors. ATR algorithms are extensively used in real-world scenarios such as military and surveillance applications.
Safaei, Bardia +4 more
openaire +3 more sources
A Review on Deep Learning-Based Approaches for Automatic Sonar Target Recognition
Electronics (Switzerland), 2020 Underwater acoustics has been implemented mostly in the field of sound navigation and ranging (SONAR) procedures for submarine communication, the examination of maritime assets and environment surveying, target and object recognition, and measurement and
Dhiraj Neupane, Jong-Hoon Seok
semanticscholar +3 more sources
A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition [PDF]
IEEE Geoscience and Remote Sensing Letters, 2023 In real-world scenarios, it may not always be possible to collect hundreds of labeled samples per class for training deep-learning-based synthetic aperture radar (SAR) automatic target recognition (ATR) models. This work specifically tackles the few-shot
Nathan Inkawhich
semanticscholar +1 more source
Few Samples of SAR Automatic Target Recognition Based on Enhanced-Shape CNN
Journal of Mathematics, 2021 Synthetic Aperture Radar (SAR), as one of the important and significant methods for obtaining target characteristics in the field of remote sensing, has been applied to many fields including intelligence search, topographic surveying, mapping, and ...
Mengmeng Huang, Fang Liu, Xianfa Meng
doaj +1 more source
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA [PDF]
International Conference on Field-Programmable Logic and Applications, 2022 Synthetic aperture radar (SAR) automatic target recognition (ATR) is the key technique for remote-sensing image recognition. The state-of-the-art convolutional neural networks (CNNs) for SAR ATR suffer from high computation cost and large memory ...
Bingyi Zhang +3 more
semanticscholar +1 more source
Automatic Target Recognition on Synthetic Aperture Radar Imagery: A Survey [PDF]
IEEE Aerospace and Electronic Systems Magazine, 2020 Automatic target recognition (ATR) for military applications is one of the core processes toward enhancing intelligence and autonomously operating military platforms.
Odysseas Kechagias-Stamatis
semanticscholar +1 more source
Incremental SAR Automatic Target Recognition With Error Correction and High Plasticity
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Synthetic aperture radar automatic target recognition (SAR ATR) uses computer processing capabilities to infer the classes of the targets without human intervention.
Jiaxin Tang +5 more
semanticscholar +1 more source