Dual-band polarimetric HRRP recognition via a brain-inspired multi-channel fusion feature extraction network [PDF]
Frontiers in Neuroscience, 2023 Radar high-resolution range profile (HRRP) provides geometric and structural information of target, which is important for radar automatic target recognition (RATR).
Wei Yang +16 more
doaj +5 more sources
An ISAR Image Component Recognition Method Based on Semantic Segmentation and Mask Matching [PDF]
Sensors, 2023 The inverse synthetic aperture radar (ISAR) image is a kind of target feature data acquired by radar for moving targets, which can reflect the shape, structure, and motion information of the target, and has attracted a great deal of attention from the ...
Xinli Zhu +4 more
doaj +3 more sources
Target Identification with Improved 2D-VMD for Carrier-Free UWB Radar [PDF]
Sensors, 2021 In recent years, the interest in radar automatic target recognition (RATR) based on the carrier-free ultra-wideband (UWB) radar has been increasing.
Yuying Zhu +3 more
doaj +5 more sources
A SAR Image Target Recognition Approach via Novel SSF-Net Models. [PDF]
Comput Intell Neurosci, 2020 With the wide application of high‐resolution radar, the application of Radar Automatic Target Recognition (RATR) is increasingly focused on how to quickly and accurately distinguish high‐resolution radar targets. Therefore, Synthetic Aperture Radar (SAR) image recognition technology has become one of the research hotspots in this field.
Wang W, Zhang C, Tian J, Ou J, Li J.
europepmc +4 more sources
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
doaj +4 more sources
Polarimetric HRRP recognition based on feature‐guided Transformer model
Electronics Letters, 2021 Polarimetric high‐resolution range profile (HRRP) holds great potential for radar automatic target recognition (RATR) owing to its capability of providing both polarimetric and spatial scattering information.
Liang Zhang +4 more
doaj +2 more sources
High-Resolution Radar Target Recognition via Inception-Based VGG (IVGG) Networks. [PDF]
Comput Intell Neurosci, 2020 Aiming at high‐resolution radar target recognition, new convolutional neural networks, namely, Inception‐based VGG (IVGG) networks, are proposed to classify and recognize different targets in high range resolution profile (HRRP) and synthetic aperture radar (SAR) signals. The IVGG networks have been improved in two aspects.
Wang W +6 more
europepmc +2 more sources
Attention-Based Recurrent Temporal Restricted Boltzmann Machine for Radar High Resolution Range Profile Sequence Recognition [PDF]
Sensors, 2018 The High Resolution Range Profile (HRRP) recognition has attracted great concern in the field of Radar Automatic Target Recognition (RATR). However, traditional HRRP recognition methods failed to model high dimensional sequential data efficiently and ...
Yifan Zhang +4 more
doaj +2 more sources
Clustered Multi-Task Learning for Automatic Radar Target Recognition [PDF]
Sensors, 2017 Model training is a key technique for radar target recognition. Traditional model training algorithms in the framework of single task leaning ignore the relationships among multiple tasks, which degrades the recognition performance.
Cong Li +3 more
doaj +2 more sources
A Deep Learning-Based Satellite Target Recognition Method Using Radar Data [PDF]
Sensors, 2019 A novel satellite target recognition method based on radar data partition and deep learning techniques is proposed in this paper. For the radar satellite recognition task, orbital altitude is introduced as a distinct and accessible feature to divide ...
Wang Lu +4 more
doaj +2 more sources