Spaceborne synthetic aperture radar (SAR) has been widely used in the national defense,
geologic mapping, disaster estimation, and other fields. This technique has realized the …

The multi-platform-borne Synthetic Aperture Radar (SAR) has become one of the most
explored research directions in the domain of SAR. This study discusses the imaging …

弹载合成孔径雷达(SAR) 可对观测区域进行二维高分辨率成像, 获得丰富的地貌特征以及目标的
尺寸, 形状特征, 进而选择打击点并提高打击精度和效率. 与传统的机载/星载SAR 成像体制相比 …

An accurate range model with acceleration, the coupling phase terms, and spatial-variant
(SV) Doppler parameters are the main issues to be solved in high-speed-high-squint …

多平台合成孔径雷达(SAR) 是合成孔径雷达极具发展潜力的研究方向之一,
该文集中讨论了多平台SAR 的成像算法, 包括机载SAR, 弹载SAR 和星载SAR 平台 …

Despite the fact that automatic target recognition (ATR) in Synthetic aperture radar (SAR)
images has been extensively researched due to its practical use in both military and civil …

The outstanding pattern recognition performance of deep learning brings new vitality to the
synthetic aperture radar (SAR) automatic target recognition (ATR). However, there is a …

作为一种重要的空间遥感信息获取工具, 星载合成孔径雷达(SAR) 具备高分辨率宽测绘,
多方位信息获取, 高时相对地观测, 3 维地形测绘等多种工作体制和模式. 对于任何星载SAR …

In recent years, synthetic aperture radar (SAR) automatic target recognition (ATR) has been
widely used in both military and civilian fields. Due to the sensitivity of SAR images to the …

Deep convolutional neural networks (CNN) have been recently applied to synthetic aperture
radar (SAR) for automatic target recognition (ATR) and have achieved state-of-the-art results …