Extended convolutional capsule network with application on SAR automatic target recognition
H Ren, X Yu, L Zou, Y Zhou, X Wang, L Bruzzone - Signal Processing, 2021 - Elsevier
Deep learning-based algorithms have a wide range of applications in synthetic aperture
radar (SAR) automatic target recognition (ATR). However, most deep learning-based ATR …
radar (SAR) automatic target recognition (ATR). However, most deep learning-based ATR …
Robust SAR Automatic Target Recognition Based on Transferred MS‐CNN with L2‐Regularization
Y Zhai, W Deng, Y Xu, Q Ke, J Gan… - Computational …, 2019 - Wiley Online Library
Though Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) via
Convolutional Neural Networks (CNNs) has made huge progress toward deep learning …
Convolutional Neural Networks (CNNs) has made huge progress toward deep learning …
Keypoint-based local descriptors for target recognition in SAR images: A comparative analysis
G Dong, H Liu, J Chanussot - IEEE Geoscience and Remote …, 2020 - ieeexplore.ieee.org
Though widely studied over the years, radar target recognition is still far from being solved.
Most earlier works rely on holistic features or raw intensity values, which are sensitive to the …
Most earlier works rely on holistic features or raw intensity values, which are sensitive to the …