ID 原文 译文
18165 结合CTU-13和ISOT公开数据集的实验结果表明，该文所提检测方法和其他方法相比，准确率提升至98.3%，召回率提升至96.7%，精确度提升至97.5%。 Experimentsperformed on the CTU-13 and ISOT public data sets show that compared with other methods, the accuracyrate of the proposed method is 98.3%, the recall rate is 96.7%, and the accuracy is 97.5%.
18166 能量数据作为模板攻击过程中的关键对象，具有维度高、有效维度少、不对齐的特点，在进行有效的预处理之前，模板攻击难以奏效。 As the key object in the process of template analysis, power traces have the characteristics of highdimension, less effective dimension and unaligned. Before effective preprocessing, template attack is difficult towork.
18167 针对能量数据的特性，该文提出一种基于流形学习思想进行整体对齐的方法，以保留能量数据的变化特征，随后通过线性投影的方法降低数据的维度。 Based on the characteristics of energy data, a global alignment method based on manifold learning isproposed to preserve the changing characteristics of power traces, and then the dimensionality of data isreduced by linear projection.
18168 使用该方法在Panda 2018 challenge1标准数据集进行了验证，实验结果表明，该方法的特征提取效果优于传统的PCA和LDA方法，能大幅度提高模板攻击的成功率。 The method is validated in Panda 2018 challenge1 standard datasets respectively.The experimental results show that the feature extraction effect of this method is superior over that oftraditional PCA and LDA methods.
18169 最后采用模板攻击恢复密钥，仅使用两条能量迹密钥恢复成功率即可达到80%以上。 Finally, the method of template analysis is used to recover the key, andthe recovery success rates can reach 80% with only two traces.
18170 星载合成孔径雷达(SAR)稀疏重航过3维成像技术通过交轨向的多次飞行观测，获得观测场景的第3维分辨。 The space-borne Synthetic Aperture Radar (SAR) sparse flight three-dimensional (3-D) imagingtechnology through the multiple observations in cross-track direction obtains the 3-D spatial distribution of the observed scene.
18171 该文给出了单颗卫星SAR稀疏重航过轨道分布，为有效缩短重访时间，同时给出了编队双星SAR轨道分布，对应的交轨向等效孔径长度为20 km。 In this paper, the orbit distribution of single satellite SAR sparse flight is given. In order toshorten effectively the satellite revisit time, the formation of double star SAR orbit distribution is given. The corresponding cross-track equivalent aperture length is 20 km.
18172 提出了一种基于干涉处理和频域压缩感知(CS)的稀疏3维成像方法，利用稀疏重航过中的部分回波形成参考3维复图像，对待重建SAR 3维图像信号进行干涉处理，使信号在频域具备稀疏性。 A sparse 3-D imaging method based oninterferometry and compressed sensing is proposed. The referential complex image is formed by using part ofthe echoes of the sparse flight, and the SAR 3-D image signals which are to be reconstruct are processed byinterferometry. This method makes the signal sparse in the frequency domain.
18173 在大轨道分布范围下，建立频域距离向-交轨向线性测量矩阵，利用CS理论联合求解稀疏表征下的图像频谱，避免交轨向和距离向的回波信号耦合。 Under the large orbitdistribution range, the frequency domain range direction and cross-track linear measurement matrix isestablished, which is beneficial to the Compressed Sensing(CS) theory to solve jointly the image frequencyspectrum under sparse representation, and avoid the echoes coupling between the range and cross-trackdirection.
18174 将求解所得频谱逆变换至空间域，可得到观测场景的3维图像重建结果。 Inversely transforming the resulting spectrum into the spatial domain, the reconstruction result canbe obtained.