Physical-Related Feature Extraction From Simulated SAR Image Based on the Adversarial Encoding Network for Data Augmentation
Physical-Related Feature Extraction From Simulated SAR Image Based on the Adversarial Encoding Network for Data Augmentation
复制标题
基于数据增强对抗编码网络的模拟 SAR 图像物理相关特征提取
DOI：
10.1109/lgrs.2021.3100642
复制
发表时间：
2022
影响因子：
4.8
通讯作者：
Qiu Tian
中科院分区：
文献类型：
--
作者：
Du Shaoyan;Hong Jun;Wang Yu;Xing Kaichu;Qiu Tian
基于深度卷积网络的合成孔径雷达自动目标识别（SAR ATR）应用经常面临数据稀缺的问题。基于电磁和几何计算的SAR图像模拟可提供大量数据
The synthetic aperture radar automatic target recognition (SAR ATR) application based on the deep convolutional network often faces data scarcity. SAR image simulation based on electromagnetic and geometric calculations can provide a large amount of data