ID 原文 译文
20645 在此基础上，提出基于MCLMS算法的射频干扰对消方法，并理论分析该对消方法的性能，推导得出互扰对消比(MICR)与发射电台数目N、收敛因子之间的闭合数学表达式。 Secondly, the RF interference cancellation method based on MCLMS algorithm is presented, and the performance of this method is analyzed to obtain the mathematical relation expression between Mutual-Interference Cancellation Ratio(MICR) and transmit radio number N, convergence factor .
20646 最后，通过仿真验证了理论结果的正确性，表明该方法能够有效抑制同车发射电台对接收电台的互扰影响，增强指挥车电磁兼容性。 Finally, the simulations demonstrate the validity of the theory result, and indicate that the mutual-interference between transmit radios and receive radios is efficiently suppressed to enhance the electromagnetic compatibility of communication command vehicle.
20647 为了获得更适合人感知的夜视融合图像，该文提出一种基于灰度变换与两尺度分解的夜视图像融合算法。 In order to achieve more suitable night vision fusion images for human perception, a novel night-vision image fusion algorithm is proposed based on intensity transformation and two-scale decomposition.
20648 首先，利用红外像素值作为指数因子对可见光图像进行灰度转换，在达到可见光图像增强的同时还使可见光与红外图像融合任务转换为同类图像融合。 Firstly, the pixel value from the infrared image is used as the exponential factor to achieve intensity transformation of the visible image, so that the task of infrared-visible image fusion can be transformed into the merging of homogeneous images.
20649 其次，通过均值滤波对增强结果与原始可见光图像进行两尺度分解。 Secondly, the enhanced result and the original visible image are decomposedinto base and detail layers through a simple average filter.
20650 再次，运用基于视觉权重图的方法融合细节层。 Thirdly, the detail layers are fused by the visualweight maps.
20651 最后，综合这些结果重构出融合图像。 Finally, the fused image is reconstructed by synthesizing these results.
20652 由于该文方法在可见光波段显示结果，因此融合图像更适合视觉感知。 The fused image is moresuitable for the visual perception, because the proposed method presents the result in the visual spectrum band.
20653 实验结果表明，所提方法在视觉质量和客观评价方面优于其它5种对比方法，融合时间小于0.2 s，满足实时性要求。 Experimental results show that the proposed method outperforms obviously the other five methods. In addition,the computation time of the proposed method is less than 0.2 s, which meet the real-time requirements.
20654 融合后图像背景细节信息清晰，热目标突出，同时降低处理时间。 In the fused result, the details of the background are clear while the objects with high temperature variance are highlighted as well.