ESFFM: An Electromagnetic Scattering Feature Fusion Model for SAR Automatic Target Recognition
W Wu, H Chen, Y Li, Z Chen, J Sun - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
In recent years, deep learning has been widely used in automatic target recognition (ATR)
task of synthetic aperture radar (SAR). However, the visual feature and the electromagnetic …
task of synthetic aperture radar (SAR). However, the visual feature and the electromagnetic …
地面目标多角度SAR 数据集构建与目标识别方法.
朱岱寅， 耿哲， 俞翔， 韩胜亮， 杨卫星… - Journal of Nanjing …, 2022 - search.ebscohost.com
南京航空航天大学雷达探测与成像技术研究团队利用自主研制的无人机(Unmanned aerial
vehick, UAV) 机载高分辨率微小型合成孔径雷达(Mini synthetic aperture radar, MiniSAR) 系统 …
vehick, UAV) 机载高分辨率微小型合成孔径雷达(Mini synthetic aperture radar, MiniSAR) 系统 …
SAGP: A spectral attention‐based global pooling
X Yu, L Xu, Y Han, Z Geng, D Zhu - Electronics Letters, 2024 - Wiley Online Library
Pooling operations, essential for neural networks, reduce feature map dimensions while
preserving key features and enhancing spatial invariance. Traditional pooling methods often …
preserving key features and enhancing spatial invariance. Traditional pooling methods often …