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Gaussian networks study undirected interactions between random variables, through the estimation of the precision matrices. Recently, it has been demonstrated that some of the important networks display features similar to scale-free graphs. There have been few works on the learning of the sparse Gaussian graphical models aiming to preserve properties of networks which are believed to be scale-free...
In space-borne azimuth multi-channel SAR, the antenna phase center spacing should be measured precisely to obtain the reconstruction filters. In this paper, a data-based onboard estimation method of antenna phase center spacing in spaceborne multi-channel SAR system is proposed. Firstly, the principle of data-based onboard estimation is presented, then the estimation method in details is described...
Shortest distance query between two nodes is a fundamental operation in large-scale networks. Most existing methods in the literature take a landmark embedding approach, which selects a set of graph nodes as landmarks and computes the shortest distances from each landmark to all nodes as an embedding. To handle a shortest distance query between two nodes, the precomputed distances from the landmarks...
In order to reveals the Spatial Distribution Characteristics of actual evapotranspiration and driving factors. Based on MODIS data and meteorological data, the daily actual evapotranspiration of February and September 2001 is simulated by SEBAL remote sensing model in Dongjiang River. The space distribution rule of actual evapotranspiration is analyzed. The results show that actual evapotranspiration...
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