Robust ISAR Target Recognition Based on ADRISAR-Net

Due to the inherent unknown image deformation among the training and test samples, performance of the deep convolutional neural network (CNN) will be degraded for Inverse Synthetic Aperture Radar (ISAR) automatic target recognition. Meanwhile, traditional CNN only captures the local spatial informat...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems 2022-12, Vol.58 (6), p.5494-5505
Hauptverfasser:	Zhou, Xuening, Bai, Xueru, Wang, Li, Zhou, Feng
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Attention Automatic target recognition automatic target recognition (ATR) Convolution convolutional neural network (CNN) Deformable models Deformation Feature extraction Generators image deformation Inverse synthetic aperture radar inverse synthetic aperture radar (ISAR) Object recognition Robustness Satellite imagery Spatial data Strain Target recognition
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