高分辨率遥感影像图制作的镶嵌线自动提取

为更好地发挥遥感技术在城市规划地图制作中的应用，高分辨率遥感影像成为城市地图制作中最重要的数据源。面对地物信息复杂、建筑物众多的城市地区，如何快速提取高分辨率遥感影像地图制作过程中相邻两景影像之间的镶嵌线具有重要意义。本文以国产卫星中分辨率最高、幅宽最小的GF-2影像为数据源，融合建筑物轮廓数据，研究了基于最短路径的A*搜索算法，实现了遥感影像地图制作的镶嵌线自动提取技术。结果表明，该方法能够自动生成避让建筑物的镶嵌线，速度快、镶嵌质量高，可广泛应用于城市地区高分辨率遥感影像地图制作。

Automatic mosaicking seamline detection for high-resolution remote sensing mapping

To better apply remote sensing technology in urban planning mapping, high-resolution remote sensing image has become the most important data source in urban mapping. Faced with the urban area with complex feature information and a large of buildings, seamline extraction between two adjacent remote sensing images is of great practical significance when practicing the mosaics for urban mapping. GF-2 remote sensing imagery has the highest spatial resolution and the smallest breadth among domestic satellites. To develop the applications in urban research with GF-2 remote sensing imagery, an automatic seamline detection method is needed to avoid buildings in urban region. Based on GF-2 remote sensing imagery and building footprints, this paper converts seamline detection into shortest path search from start point to goal point. The result shows that fusing building footprint data and A* searching algorithm can automatically generate seamline to avoid building in complex urban context. This method can be widely used in urban mapping with high-resolution remote sensing imagery.