This letter develops a synthetic aperture radar (SAR) target classification method based on
bidimensional variational mode decomposition (BVMD) and multitask compressive sensing …

For the problem of synthetic aperture radar (SAR) image target recognition, a method via
combination of multilevel deep features is proposed. The residual network (ResNet) is used …

This paper applied block sparse Bayesian learning (BSBL) to synthetic aperture radar (SAR)
target recognition. The traditional sparse representation‐based classification (SRC) …

Background: This paper proposes a synthetic aperture radar (SAR) target recognition
method based on adaptive weighted decision fusion of multi-level deep features. Methods …

A synthetic aperture radar (SAR) automatic target recognition (ATR) method is developed
based on the two‐dimensional variational mode decomposition (2D‐VMD). 2D‐VMD …

Multiview synthetic aperture radar (SAR) images could provide richer information for target
recognition as reported in previous works. This study exploits multiview SAR images with …

为了提高合成孔径雷达图像目标识别效果, 提出一种基于多线性主成分分析和张量分析的合成
孔径雷达图像目标识别方法. 该方法首先构建四阶张量训练样本, 利用多线性主成分分析得到多 …

ABSTRACT A synthetic aperture radar (SAR) target classification method is proposed by
properly selecting multiple views via the nonlinear correlation information entropy (NCIE) …

针对合成孔径雷达(SAR) 目标识别问题, 设计了图像超分辨重构算法并进行应用.
基于属性散射中心模型对SAR 图像进行参数估计以及高分辨率构造, 获得原始图像的多分辨率 …

提出基于分块匹配的合成孔径雷达(SAR) 目标识别方法. 对待识别SAR 图像进行4 分块处理,
分别进行分析和匹配. 对于每个SAR 图像分块, 采用单演信号描述其时频分布以及局部细节信息 …