This paper presents a new Synthetic Aperture Radar (SAR) Automatic Target Recognition
(ATR) method based on slow feature analysis. Slow feature analysis (SFA) is a method for …

To address the problems of singularities, sensitivity to measurement noise, and low
efficiency in traditional principal component analysis (PCA)-based operational modal …

针对合成孔径雷达(synthetic aperture radar, SAR) 目标识别问题, 提出联合多层次二维压缩
感知投影特征的方法. 采用二维压缩感知投影作为基础特征提取算法, 具有不依赖训练样本 …

提出基于分块匹配的合成孔径雷达(Synthetic Aperture Radar, SAR) 目标识别方法.
对待识别SAR 图像进行4 分块处理, 每个分块描述目标的局部区域. 对于每个分块 …

将高斯过程模型应用于合成孔径雷达(SAR) 图像目标识别. 高斯过程模型是基于贝叶斯框架的
统计学习算法, 通过结合核函数和和概率判别构建分类模型. 与传统分类模型相比 …

合成孔径雷达(Synthetic aperture radar, SAR) 自动目标识别(Automatic target recognition,
ATR) 是现代战场情报侦察, 精确打击的重要支撑技术. 为提升SAR ATR 整体性能 …

This paper proposes a classification method based on principal component reconstruction
(PCR) for target recognition in synthetic aperture radar (SAR) image. To characterize the …

In this paper, a novel technique based on linear t-stochastic neighbor embedding (t-SNE)
and sparse representation is presented for target recognition in SAR images. Though t-SNE …

A synthetic aperture radar (SAR) target recognition method combining linear and nonlinear
feature extraction and classifiers is proposed. The principal component analysis (PCA) and …

Wireless sensor networks (WSNs) consist of a large number of sensor nodes. The sensors
are tiny devices, which are easy to manufacture, low cost and very power efficient. The major …