摘要
航空遥感系统在地形复杂地区侧视成像作业时,有可能会因地形遮挡而出现成像盲区,在任务规划阶段进行载荷成像盲区检测是解决该问题的有效方法。鉴于现有基于地形可视域分析的盲区检测方法存在计算效率低、通用性差等缺点,提出了一种基于阴影图算法的航空遥感地面覆盖快速分析方法。实验结果表明,该方法不仅具有效率高、通用性强的特点,而且可定量分析载荷成像地面覆盖率,为航空遥感作业任务规划的盲区检测与覆盖评估提供了很好的支持。
When aerial remote sensing system works under side-view pattern in complex terrain areas, imaging blind spots may appear due to terrain occlusion. An effective way to solve this problem is blind spot detection in the mission planning stage. However, based on the terrain visualization analysis, the existing blind spot detection methods are of low efficiency and poor versatility. In this paper, a fast ground coverage analysis method for aerial remote sensing based on shadow map was proposed. Experimental results show that not only the efficiency and versatility of the method are improved, but also the quantitative coverage of the payload imaging area is included in the method. Therefore, the aerial remote sensing tasks of image blind detection and area coverage assessment are strongly supported by the method proposed in the paper.
出处
《地理空间信息》
2016年第1期71-75,5,共5页
Geospatial Information
基金
国家高技术研究发展计划资助项目(2013AA122105)
