提出综合考虑空间对象的面积、属性及其相互间的拓扑、方位关系等多要素的空间场景相似性匹配模型。首先利用"逐步转变模型"和属性关系图实现场景语义建模,而后构建场景匹配模型,利用所提出的相似度指标评价场景间的相似性。该模型能够较为客观地刻画空间场景特别是地理场景的语义内涵,并且具有很好的场景匹配效果,在空间数据的智能查询检索上具有较好的应用前景。

A spatial scene is a set of objects along with their spatial and,non-spatial attributions and their mutual spatial relationships. In this study,we propose a spatial scene-matching model considering the object area,attribution,topology,and orientation relationships. We first build a scene semantic description model by combining the "gradual change" model and attributed relationship graph (ARGs). We then construct our scene-matching model that evaluates the scene similarity by the self-proposed similarity measures. This method objectively describes semantics of spatial,especially geographic scenes,and performances well on spatial scene matching. It has a good prospect in intelligent retrieval of spatial data.