ID 原文 译文
58648 针对航迹融合算法精度评价问题,提出一种新的评价指标。 Aiming at the problem of evaluation of the accuracy of track fusion algorithms, a new evaluation index is proposed.
58649 该指标以最佳基数线性分配度量标准为基础,使用Hellinger距离代替该度量标准中距离误差部分的欧氏距离,从而考虑了状态的误差协方差; The index is based on the cardinalized optimal linear assignment metric.
58650 去掉了其截止距离,使截止参数仅起到调节距离误差和势误差之间权重的作用; The Hellinger distance is used to replace the Euclidean distance of the distance error part of the metric, so that the error covariance of the state is considered and the cutoff distance is removed, making the cutoff parameter only play the role of adjusting the weight between the distance error and the cardinal error.
58651 在势误差部分添加一个变量,可以根据所需进行设置,从而实现指标是否考虑势误差的功能。 A variable is added in the potential error part, and can be set according to the need so as to achieve the function of whether the index considers the cardinal error.
58652 仿真实验表明,新指标不仅可以正确评价融合精度,同时考虑了状态的不确定度和势误差,可以更敏感地评价融合算法的优劣,并且可以在融合误差期望值未知时有效评价融合精度。 Simulation experiments show that the new index can not only correctly evaluate the fusion precision, but also evaluate the pros and cons of the fusion algorithm more sensitively by considering the state uncertainty and cardinal error, and that it can effectively evaluate the fusion precision when the fusion error expectation is unknown.
58653 针对多波段同步融合图像普遍存在的清晰度不高、图像细节不丰富的问题,提出一种基于注意力机制生成对抗网络的图像特征级融合方法。 Aiming at the low definition and poor details of synchronous multi-band image fusion, a novel method based on attention generative adversarial networks is proposed.
58654 首先,利用多波段特征图与其均值的差值构建注意力权重图,通过特征图与注意力权重图的点乘和相加获得特征增强图,以此构建特征增强模块; First, the attention weight map is constructed using the difference between the multi-band feature map and its mean, then the feature enhancement map is obtained by the point multiplication and addition of the feature map and the attention weight map to construct the feature enhancement module.
58655 其次,设计特征级融合模块,将多波段特征增强图连接,通过归一化、上采样、卷积等操作重构融合图像;最后,将特征增强模块和特征融合模块级联建立生成器,并以VGG-16作为判别器构建生成对抗网络,以实现多波段图像端到端融合。 Second, the feature-level fusion module is designed, which connects the multi-band feature enhancement map and reconstructs the fused image through normalization, upsampling, convolution, etc. Finally, the feature enhancement module and the feature-level fusion module are cascaded to build the generator, and the VGG-16 is used as a discriminator to establish a Generative Adversarial Network, thereby implementing multi-band image end-to-end fusion.
58656 实验结果表明,与当前经典的融合方法相比,所提出方法的平均梯度最为突出,验证了该方法的有效性。 Experimental results show that the proposed fusion method can lead to the most prominent average gradient compared with classical fusion methods, and that the effectiveness of the proposed method is verified.
58657 由于闪存在智能手机和物联网等设备上的容量和可靠性都是有限的, 重复数据删除可以通过删除重复I/O来解决这些限制,但必须在设备的各种资源限制下完成。 The performance, capacity and reliability of the flash memory on devices such as smartphones and the Internet of Things are limited. Deduplication can resolve these restrictions by removing the duplicate I/O, but must be done under various resource constraints on the device.