SAR

Hongqiang Wang1, Yuqing Lan2, Fuzhan Yue3

  • 1School of Software, Beihang University, Beijing, 100191, China; Jiangxi Research Institute, Beihang University, Beijing, 100191, China; State Key Laboratory of Space-Earth Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, 100095, China.

概括

这项研究引入了一种新的方法,通过减少特征和标签中的噪声来改善合成孔径雷达 (SAR) 目标识别. 这种方法提高了卷积神经网络 (CNN) 的性能,即使数据有很大的不准确性.

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