Zobrazeno 1 - 10
of 192
pro vyhledávání: '"radar automatic target recognition (RATR)"'
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3135 (2024)
Polarimetric high-resolution range profile (HRRP), with its rich polarimetric and spatial information, has become increasingly important in radar automatic target recognition (RATR). This study proposes an interpretable target-aware vision Transforme
Externí odkaz:
https://doaj.org/article/4b198056c2264e1694b64b11f68b9111
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Radar high-resolution range profile (HRRP) provides geometric and structural information of target, which is important for radar automatic target recognition (RATR). However, due to the limited information dimension of HRRP, achieving accurate target
Externí odkaz:
https://doaj.org/article/9f1c7888924049dbaca4d368d6e9661f
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 7643-7656 (2022)
In radar automatic target recognition (RATR), high-resolution range profile (HRRP) has received intensive attention due to its low computational cost. As HRRP is sensitive to the aspect of the target, a training set covering sufficient aspects is ess
Externí odkaz:
https://doaj.org/article/2ca3edfa8aaf404590739eee128fe8c4
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2507 (2023)
With the capability of capturing a target’s two-dimensional information, Inverse Synthetic Aperture Radar (ISAR) imaging is widely used in Radar Automatic Target Recognition. However, changes in the ship target’s attitude can lead to the scattere
Externí odkaz:
https://doaj.org/article/3d3c9a3d6e164992ad565b19f8c6883e
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5286 (2023)
Aiming at the limitations of a single High Resolution Range Profile (HRRP) in recognition, this paper proposes a Time step Correlation-based Feature Fusion (TCFF) method. This method calculates the covariance matrix at the time step of the two featur
Externí odkaz:
https://doaj.org/article/0c03d8a58273453caba0511ada0b73c9
Publikováno v:
IEEE Access, Vol 8, Pp 20828-20837 (2020)
In this paper, we integrate the advantages of convolutional neural network (CNN) and bidirectional recurrent neural network (BiRNN) with attention mechanism, and propose a CNN-BiRNN based method to recognize the individual high resolution range profi
Externí odkaz:
https://doaj.org/article/7c5794662b2d46e0bc48feeda00dd392
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9728 (2022)
The traditional High-Resolution Range Profile (HRRP) target recognition method has difficulty automatically extracting target deep features, and has low recognition accuracy under low training samples. To solve these problems, a ship recognition meth
Externí odkaz:
https://doaj.org/article/e0b34bb197254b10b03234486982d9c3
Publikováno v:
Leida xuebao, Vol 8, Iss 5, Pp 589-597 (2019)
To address the problem of radar High-Resolution Range Profile (HRRP) target recognition, traditional methods only consider the envelope information of the sample and ignore the temporal correlation between the range cells. In this study, we propose a
Externí odkaz:
https://doaj.org/article/fa098827a9d34019836e5177968c74db