ID	原文	译文
683	全色图像与多光谱图像融合时，忽略了上采样的重要性和通道间细节的差异性。	On the fusion of panchromatic and multispectral images, two important aspects, up-sampling of multispec-tral images and the difference of channel details, are ignored.
684	针对前者，利用不同尺度下自相似块，估计出低分辨率图像丢失信息，从而修改了图像上采样的策略，并以此构造目标函数的保真项;	For the former, the loss details of low-resolution images are es-timated by using self-similar patch at different scales to improve up-sampling.
685	针对后者，利用全色图像和光谱图像梯度域结构相似性，提出局部加权动态稀疏约束，构造目标函数的正则项。	For the latter, the local weighted dynamic sparse constraint is proposed based on the structural similarity between panchromatic images and spectral images in gradient domain.
686	本文基于变分法理论，构造了新的目标函数。	The new objective function based on variational method are proposed, the fidelity term and the regularization term of whose are constructed respectively according to the former and the latter.
687	并提出了多尺度迭代融合框架，通过多次迭代逐步提高融合图像的分辨率。	In addition, a multi-scale iterative fusion frameworkis presented, where the resolution of the fused image is gradually improved through iterations.
688	每一层的融合结果更加准确，从而提高最终的融合精度。	The fused results of each itera-tion are more accurate, so the final fused image is improved.
689	本文算法与 Brovey 等成分替代算法、P + XS 等变分算法、MTF_GLP 等多分辨分析算法进行比较。	Our algorithm is compared with Brovey and other componentsubstitution algorithms, P + XS and other variational algorithms, MTF_GLP and other multi-resolution analysis algorithms.
690	实验结果表明，本算法的融合结果具有良好的视觉效果，且在客观评价指标上比所有对比算法的最优值平均值均有提高。	The experimental results show that the fusion results of this algorithm have good visual effect, and the objective evaluation index is better than the average of the optimal value of all comparison algorithms.
691	针对空间信息网络中节点高速运动导致的网络拓扑结构难以长期稳定的问题，本文提出了基于代数连通度优化的网络动态拓扑控制方法，通过少量链路调整来维持网络拓扑的稳定性。	Aiming at the problem of long-term stability of the network topology caused by high-speed movement ofnodes in a space information network, a dynamic topology control method based on the algebraic connectivity optimization is proposed to reduce the number of links so as to maintain the stability of the network topology.
692	为减小空间信息网络节点持续相对运动对网络拓扑结构稳定性造成的不利影响，针对网络初始化和网络重构场景，采用图论中的拉普拉斯矩阵特征值优化思想，构建了星上资源约束条件下的加权代数连通度最大化模型。	In order to reduce the adverse effect of the continuous relative motion of the space information network nodes on the stability of the network topology, ac-cording to the network initialization and network reconstruction scenarios, the Laplacian eigenvalue optimization in graph the-ory is used to construct the algebraic connectivity optimization model with resource constraints.