ID 原文 译文
19725 所提方法构建了一个闭环系统，根据实时反馈的场景信息调整收发系统，提高雷达对环境的感知能力，从而改善旁瓣抑制性能，提高抗噪声稳健性。 The proposed method forms a closed loopdetection system. The transmitting and receiving systems are adjusted according to the feedback scene information in real time. The sensing ability about the environment can be enhanced. The detection performance and robustness against noise can be improved.
19726 仿真结果验证了所提方法的有效性。 The efficiency and validity are verified by thesimulation results.
19727 目前，相当多的显著目标检测方法均聚焦于2D的图像上，而RGB-D图像所需要的显著检测方法与单纯的2D图像相去甚远，这就需要新的适用于RGB-D的显著检测方法。 Currently, many saliency-detection methods focus on 2D-image. But, these methods cannot beapplied in RGB-D image. Based on this situation, new methods which are suitable for RGB-D image are needed.
19728 该文在经典的RGB显著检测方法，即极限学习机的应用的基础上，提出融合了特征提取、前景增强、深度层次检测等多种思路的新的RGB-D显著性检测方法。 This paper presents a novel algorithm based on Extreme Learning Machine(ELM), feature-extraction and depth-detection.
19729 该文的方法是：第一，运用特征提取的方法，提取RGB图4个超像素尺度的4096维特征； Firstly, feature-extraction is used for getting a feature, which contains 4-scale superpixelsand 4096 dimensions.
19730 第二，依据特征提取中产生的4个尺度的超像素数量，分别提取RGB图的RGB, LAB, LBP特征以及深度图的LBE特征； Secondly, according to the 4-sacle superpixels, the RGB, LAB and LBP feature of RGBimage are computed, and LBE feature of depth image.
19731 第三，根据LBE和暗通道特征两种特征求出粗显著图，并在4个尺度的遍历中不断强化前景、削弱背景； Thirdly, weak salient map with LBE and dark-channelfeatures are computed, and the foreground objects is strengthened in every circle.
19732 第四，根据粗显著图选取前景与背景种子，放入极限学习机中进行分类，得到第1阶段显著图； Fourthly, according to weaksalient map, both foreground seeds and background seeds are chosen, and then, put these seeds into ELM tocompute the first stage salient map.
19733 第五，运用深度层次检测、图割等方法对第1阶段显著图进行再次优化，得到第2阶段显著图，即最终显著图。 Finally, depth-detection and graph-cut are used for optimizing the firststage salient map and getting the second stage salient map.
19734 针对现有多输入多输出(MIMO)雷达发射波形设计方法存在运算量高的问题，该文提出一种基于原子范数的MIMO雷达发射波形设计方法。 For the fact that exsiting MIMO transmit beampattern design methods suffer from huge computational burden, a novel MIMO transmit beampattern design method based on atomic norm is proposed.