Emirates Technology and Innovation Center (ETIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates;
Emirates Technology and Innovation Center (ETIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates;
Electrical and Computer Engineering Department, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates;
Electrical and Computer Engineering Department, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates;
Feature extraction; Synthetic aperture radar; Training; Support vector machines; Testing; Convolution; Radar imaging;
机译:基于L2正则化的传输MS-CNN的鲁棒SAR自动目标识别
机译:垃圾邮件:基于CNN的SAR目标识别网络,具有姿势角度边缘化学习
机译:基于Zernike矩特征的最佳选择的合成孔径雷达(SAR)图像自动目标识别
机译:SAR图像中的自动目标识别:基于转移学习方法中预先训练的CNN的比较
机译:SAR图像自动目标识别系统。
机译:基于L2正则化转移MS-CNN的鲁棒SAR自动目标识别
机译:基于CN-GaN和CNN复杂环境中SAR图像的目标识别
机译:最近邻残差矢量量化器分类器对信号和传感器波形采集的可行性研究:saR图像中的自动目标识别