一种卫星资源一体化网格组织模型

A Multi-satellite Resource Integration Organization Model Based on Grids

  • 摘要: 针对以卫星本体为组织单元开展卫星应用时存在的地面覆盖表征不统一、难整合,现有的卫星分析方法存在大量重复计算、耗时严重等问题,提出了一种基于地理网格的卫星资源一体化组织模型。该模型的基本思路为:以全球等经纬度剖分网格体系(geographical coordinate global subdivision grid with one-dimension-integer on two to nth power,GeoSOT)多尺度网格作为统一的空间表征单元和索引主键,建立一张数据库大表对多星时空覆盖能力进行归一化网格组织,用存储代价换计算时间,提升分析计算效率。选择区域目标访问分析和区域覆盖率计算作为典型应用方法进行实验,初步验证了基于该模型的分析方法的计算效率较传统方法有较明显的提升。该模型可为多星资源整合、联合分析、协同调度提供技术基础。

     

    Abstract: Satellite resources are generalizations of limited capabilities of satellite-based Earth observation systems to produce remote sensing data to satisfy observational needs. We propose a satellite resource organization model to address the inconsistency of basic units for ground coverage characterization, the time-consuming process of area target access analysis, and the bottlenecks in abilities analysis in satellite coverage. This model provides a new path for improving the efficiency of various analytical methods. Firstly, it relies on the GeoSOT(geographical coordinate global subdivision grid with one-dimension-integer on two to nth power) reference frame, and then the global space-time coverage information of the satellite is calculated and stored in advance into a grid to form a spatial-temporal coverage grid to provide support for subsequent satellite coverage performance analysis or task scheduling. The traditional real-time complex computation process will turn into a process of "update once, search repeatedly" based on the model's large table. At the same time, the model uses a multi-scale grid system to characterize the satellite coverage area, which solves the problem brought by inconsistent basic coverage units, and also can provide technical support for simplifying the process of satellite cooperative scheduling. Finally, this paper chooses area target access analysis and regional simple coverage calculation as typical applications to verify that the performance improvement of methods based on this model can be greater than that of the traditional methods.

     

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