Radar automatic target recognition using complex high-resolution range profiles
IET Radar, Sonar & Navigation, 2007 Radar high-resolution range profile (HRRP) has received intensive attention from the radar automatic target recognition (RATR) community. Usually, since the initial phase of a complex HRRP is strongly sensitive to target position variation, only the amplitude information in complex HRRPs is used for RATR, whereas the phase information is discarded ...
L. Du, H. Liu, Z. Bao, J. Zhang
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ARTMAP-FTR: A Neural Network For Fusion Target Recognition, With Application To Sonar Classification [PDF]
, 1998 ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include automatic mapping from satellite remote sensing data, machine tool monitoring, medical prediction ...
Carpenter, Gail A. +2 more
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Persepsi pelajar sarjana muda kejuruteraan elektrik terhadap program latihan industri, Kolej Universiti Teknologi Tun Hussein Onn [PDF]
, 2002 Kajian ini dijalankan bertujuan untuk mengetahui persepsi Pelajar Sarjana Muda Kejuruteraan Elektrik Terhadap Program Latihan Industri, KUiTTHO berdasarkan kepada 4 faktor iaitu kesesuaian penempatan program latihan industri, kesesuaian pendedahan ...
Mohamad Nur, Hanirah
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An introduction to radar Automatic Target Recognition (ATR) technology in ground-based radar systems
, 2023 This paper presents a brief examination of Automatic Target Recognition (ATR) technology within ground-based radar systems. It offers a lucid comprehension of the ATR concept, delves into its historical milestones, and categorizes ATR methods according to different scattering regions.
Gong, Jiangkun +3 more
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SAR Automatic Target Recognition Based on Numerical Scattering Simulation and Model-based Matching
Leida xuebao, 2015 This study proposes a model-based Synthetic Aperture Radar (SAR) automatic target recognition algorithm. Scattering is computed offline using the laboratory-developed Bidirectional Analytic Ray Tracing software and the same system parameter settings as ...
Zhou Yu, Wang Hai-peng, Chen Si-zhe
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Investigating SAR algorithm for spaceborne interferometric oil spill detection [PDF]
, 2016 The environmental damages and recovery of terrestrial ecosystems from oil spills can last decades. Oil spills have been responsible for loss of aquamarine lives, organisms, trees, vegetation, birds and wildlife. Although there are several methods through
Ceriotti, Matteo +3 more
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SAR ATR Based on 3D Parametric Electromagnetic Scattering Model
Leida xuebao, 2017 Automatic Target Recognition (ATR) is one of the most difficult problems in Synthetic Aperture Radar (SAR) data interpretation. In recent years, the model-based SAR target recognition method has attracted much attention because of its good performance in
Wen Gongjian +8 more
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A Neural Network Architecture for Figure-ground Separation of Connected Scenic Figures [PDF]
, 1991 A neural network model, called an FBF network, is proposed for automatic parallel separation of multiple image figures from each other and their backgrounds in noisy grayscale or multi-colored images.
Grossbergy, Stephen, Wyse, Lonce
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Radar Automatic Target Open Set Recognition Based on Cluster Boundary Detection
IEEE AccessRadar automatic target recognition has developed significantly in recent years. Previous works mainly aim at addressing the closed set recognition problem, whose test set and training set have the same categories of the targets.
Ziheng Xia, Mengdie Wu
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Radar HRRP Target Recognition Based on Concatenated Deep Neural Networks
IEEE Access, 2018 In this paper, a deep neural network with concatenated structure is created for the recognition of flight targets. Compared with the traditional recognition method, the deep network model automatically gets deeper structure information that is more ...
Kuo Liao +3 more
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