提出自动化评估卫星三维数据分辨率的方法
Methods for evaluating the resolution of 3D data derived from satellite images
- 基于高分辨率航拍激光雷达，构建自动评估流程
- 覆盖点云、数字表面模型和三维网格多种格式
- 适用于大范围场景建模与质量追踪，适合遥感研究者
从卫星图像生成的三维数据对需要大范围覆盖或无法通过机载激光雷达或相机获取的场景建模至关重要。衡量此类数据的分辨率对于评估任务实用性及跟踪性能提升具有重要意义。本文研究了点云、数字表面模型（DSM）和三维网格模型的分辨率评估方法，描述了基于高分辨率参考航拍激光雷达的3D度量评估工具与工作流，并展示了不同质量数据的分析结果。
原文摘要 · Abstract (English)
3D data derived from satellite images is essential for scene modeling applications requiring large-scale coverage or involving locations not accessible by airborne lidar or cameras. Measuring the resolution of this data is important for determining mission utility and tracking improvements. In this work, we consider methods to evaluate the resolution of point clouds, digital surface models, and 3D mesh models. We describe 3D metric evaluation tools and workflows that enable automated evaluation based on high-resolution reference airborne lidar, and we present results of analyses with data of varying quality.
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