However, many CNN-based SAR ATR algorithms just use the amplitude information of SAR data, ignoring the phase information. In this study, a complex-valued CNN is proposed to address this issue. We introduce the complex-valued operations in the calculation of the network, so the complex-valued...
24, a Complex-Value Convolutional Neural Network (CV-CNN) is proposed by to extract visual and physical information of the target by using complex SAR data as the input, and its classification accuracy exceeds that of CNN model using only the amplitude of SAR images. In Ref. 25, a feature...
20. ATRNet-STAR (2025) 多类别(40类) SAR车辆识别数据集 论文地址: ATRNet-STAR: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the Wild 为了取代MSTAR(10种车辆型号),国防科技大学电子科学学院相关团队耗时两年构建SAR车辆目标识别数据集ATRNet-STAR(40种车辆型号、更具挑战的实...
3.1.1. Current attack settings in SAR ATR Existing attack approaches for SAR ATR either utilize the victim model itself or train a surrogate with the training data of the victim model to generate adversarial perturbations, such as training the surrogate and victim models using the same training ...
这是有关IEEE GRSL的《Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR》的动机、解决的问题和研究思路,相关代码已经整理到GitHub上,希望能对您有启发。 Discovering and Explaining the Noncausality of Deep Learning in SAR ATRieeexplore.ieee.org/document/10100951/ Data-Bias-in...
Learning Rate Optimization in CNN for Accurate Ophthalmic Classification Yaroshchak Serhii,Mahmoud Smaida - 《International Journal of Innovative Technology & Exploring Engineering》 - 2021 - 被引量: 0 Improving FLAIR SAR efficiency at...
Thus, the input of CNNs is not limited to images but any input exhibiting such dependencies. Since complex-valued phase histories also have such a structure, they can be the input of a CNN. We perform ATR experiments on the Moving and Stationary Target Acquisition and Recognition (MSTAR) ...
MMFF: Multi-manifold feature fusion based neural networks for target recognition in complex-valued SAR imagery ISPRS J. Photogramm. Remote Sens. (2021) J. Zhang et al. Hierarchical similarity alignment for domain adaptive ship detection in SAR images IEEE Trans. Geosci. Remote Sens. (2022) “...
Thus, the input of CNNs is not limited to images but any input exhibiting such dependencies. Since complex-valued phase histories also have such a structure, they can be the input of a CNN. We perform ATR experiments on the Moving and Stationary Target Acquisition and Recognition (MSTAR) ...
Du Kang-ning, Deng Yun-kai, Wang R, et al.. SAR ATR based on displacement-and rotation-insensitive CNN[J]. Remote Sensing Letters, 2016, 7(9): 895 904.K. Du, Y. Deng, R. Wang, T. Zhao, and N. Li, "SAR ATR based on displacement- and rotation-insensitive CNN," Remote Sens...