Reconstructing Building Height from Spaceborne TomoSAR Point Clouds Using a Dual-Topology Network
从空间borne TomoSAR点云重建建筑高度的双拓扑网络
机构 * The Chair of Data Science in Earth Observation, Technical University of Munich (TUM)(地球观测数据科学教授职位,慕尼黑技术大学) ; Munich Center for Machine Learning (MCML)(慕尼黑机器学习中心) ; School of Engineering and Design, Technical University of Munich (TUM)(工程与设计学院,慕尼黑技术大学)
专题命中 点云 :point cloud(title,abstract);分类 cs.CV
AI总结 本文提出了一种双拓扑网络,用于从空间borne TomoSAR点云中重建建筑高度,通过点和网格分支联合处理,实现去噪和缺失区域填充,提升城市高度映射的精度。
Comments Accepted for publication in IEEE Transactions on Geoscience and Remote Sensing