Abstract: Aiming at unified geospatial location organization and multi-scale extraction problems of global multi-source remote sensing data, a kind of unified location organization method, which adopts the GeoSOT location identification model based on global subdivision grid, is designed. In this method, geospatial regional range and position covered by multi-source remote sensing data are uniformly identified with structured cells, and a high consistent correlation, which exists between the external outline positioning and internal data block structure of remote sensing data and geospatial location, is established. The principle and test analysis show that the proposed method can more efficiently organize and manage global multi-source remote sensing data that belong to a same geographic region.

Key words: location identification, image organization, global subdivision grid, multi-scale extraction

摘要： 针对全球多源遥感数据的统一区位组织与多尺度提取问题, 在GeoSOT地球剖分格网框架下, 采用GeoSOT区位标识模型设计多源遥感数据的GeoSOT区位组织方法。该方法通过对多源遥感数据所覆盖的区域范围和位置进行统一结构化面片标识, 将遥感数据的外部整体定位和内部数据块结构都与地球空间区位形成一致性关联, 能够更高效地组织与管理全球范围内同属一个地理区域的多源遥感数据。

关键词: 区位标识, 影像组织, 地球剖分, 多尺度提取