论文部分内容阅读
针对当前电子地图显示范围以及人眼视觉分辨能力的限制,该文提出了符合视觉认知规律的自适应多级岛屿群空间模式,基于动态邻近图、最小生成树、最小面积外接矩形等概念设计了岛屿群多级空间模式提取算法。实验结果表明,该方法有效顾及了岛屿群显示的空间尺度,能够自适应地生成符合显示尺度要求的岛屿群多级空间模式,提高了空间模式识别的灵活性和有效性。
In view of the limitations of current electronic map display scope and human visual resolution, this paper proposes an adaptive multi-level island group space model that conforms to the rules of visual cognition. Based on such concepts as dynamic neighbor graph, minimum spanning tree and minimum area bounding rectangle Island multi - level spatial pattern extraction algorithm. The experimental results show that this method effectively takes into account the spatial scale of the island group display, and can adaptively generate multi-level spatial patterns of island groups that meet the requirements of the display scale, which improves the flexibility and effectiveness of spatial pattern recognition.