图聚类可以发现网络中的社区结构,是复杂网络分析中的一项重要任务。针对不同节点的聚类难度各异的问题,提出了一种基于节点聚类复杂度的图聚类算法(Graph Clustering Algorithm Based on Node Clustering Complexity,GCNCC),用于判断...图聚类可以发现网络中的社区结构,是复杂网络分析中的一项重要任务。针对不同节点的聚类难度各异的问题,提出了一种基于节点聚类复杂度的图聚类算法(Graph Clustering Algorithm Based on Node Clustering Complexity,GCNCC),用于判断节点的聚类复杂度,为聚类复杂度低的节点赋予伪标签,利用伪标签提供的监督信息降低其他节点的聚类复杂度,进而得到网络聚类结果。GCNCC包括节点表示、节点聚类复杂度判别和图聚类3个主要模块。节点表示模块得到保持网络集聚性的表示;节点聚类复杂度判别模块用于判断网络中的低聚类复杂度节点,并利用低聚类复杂度节点的伪标签信息来优化更新网络中其他节点的聚类复杂度;图聚类模块采用标签传播方法,将低聚类复杂度节点标签传播给高聚类复杂度节点,以得到聚类结果。在3个真实的引文网络和3个生物数据集上与9种经典算法进行对比,算法GCNCC在ACC,NMI,ARI和F1等方面均表现良好。展开更多
The Ice,Cloud and Land Elevation Satellite-2(ICESat-2),a new spaceborne light detection and ranging(LiDAR)system,was successfully launched on September 15,2018.The ICESat-2 data increase the types of spaceborne LiDAR ...The Ice,Cloud and Land Elevation Satellite-2(ICESat-2),a new spaceborne light detection and ranging(LiDAR)system,was successfully launched on September 15,2018.The ICESat-2 data increase the types of spaceborne LiDAR data archive and provide new control point data for large-scale topographic mapping and geodetic surveying.However,the accuracy of the ATL 08 terrain estimates has not been fully evaluated on a large scale and in complex terrain conditions.This article aims to quantitatively assess the accuracy of ICESat-2 ATL 08 terrain estimates.Firstly,the ICESat-2 ATL 08 terrain estimates were compared with the high-precision airborne LiDAR digital terrain model(DTM),and impacts of acquisition time,vegetation cover type,terrain slope,and season change on the terrain estimation accuracy were analyzed.We get the following conclusions from the analysis:1)the mean and RMSE of the terrain estimates of day acquisitions are 0.22 m and 0.59 m higher than that of night acquisitions;2)the accuracy of the ATL 08 terrain estimates acquired in vegetated areas is lower than those in non-vegetated areas;3)the accuracy of the ATL 08 terrain estimates is inversely proportional to the slope,and the elevation error increases significantly when the terrain slope is larger than 30°;4)in the non-vegetation covered area,the accuracy of the ATL 08 terrain estimates of summer and winter acquisitions has no obvious discrepancy,but in vegetated area,the accuracy of winter acquisitions is significantly better than that of summer acquisitions.This research provides references for the selection and application of ICESat-2 data.展开更多
文摘图聚类可以发现网络中的社区结构,是复杂网络分析中的一项重要任务。针对不同节点的聚类难度各异的问题,提出了一种基于节点聚类复杂度的图聚类算法(Graph Clustering Algorithm Based on Node Clustering Complexity,GCNCC),用于判断节点的聚类复杂度,为聚类复杂度低的节点赋予伪标签,利用伪标签提供的监督信息降低其他节点的聚类复杂度,进而得到网络聚类结果。GCNCC包括节点表示、节点聚类复杂度判别和图聚类3个主要模块。节点表示模块得到保持网络集聚性的表示;节点聚类复杂度判别模块用于判断网络中的低聚类复杂度节点,并利用低聚类复杂度节点的伪标签信息来优化更新网络中其他节点的聚类复杂度;图聚类模块采用标签传播方法,将低聚类复杂度节点标签传播给高聚类复杂度节点,以得到聚类结果。在3个真实的引文网络和3个生物数据集上与9种经典算法进行对比,算法GCNCC在ACC,NMI,ARI和F1等方面均表现良好。
基金Projects(41820104005,41904004,42030112)supported by the National Natural Science Foundation of China。
文摘The Ice,Cloud and Land Elevation Satellite-2(ICESat-2),a new spaceborne light detection and ranging(LiDAR)system,was successfully launched on September 15,2018.The ICESat-2 data increase the types of spaceborne LiDAR data archive and provide new control point data for large-scale topographic mapping and geodetic surveying.However,the accuracy of the ATL 08 terrain estimates has not been fully evaluated on a large scale and in complex terrain conditions.This article aims to quantitatively assess the accuracy of ICESat-2 ATL 08 terrain estimates.Firstly,the ICESat-2 ATL 08 terrain estimates were compared with the high-precision airborne LiDAR digital terrain model(DTM),and impacts of acquisition time,vegetation cover type,terrain slope,and season change on the terrain estimation accuracy were analyzed.We get the following conclusions from the analysis:1)the mean and RMSE of the terrain estimates of day acquisitions are 0.22 m and 0.59 m higher than that of night acquisitions;2)the accuracy of the ATL 08 terrain estimates acquired in vegetated areas is lower than those in non-vegetated areas;3)the accuracy of the ATL 08 terrain estimates is inversely proportional to the slope,and the elevation error increases significantly when the terrain slope is larger than 30°;4)in the non-vegetation covered area,the accuracy of the ATL 08 terrain estimates of summer and winter acquisitions has no obvious discrepancy,but in vegetated area,the accuracy of winter acquisitions is significantly better than that of summer acquisitions.This research provides references for the selection and application of ICESat-2 data.