1 citations · 2 across the 3 of their papers we have counts for
4 papers
TSE-Net: Semi-supervised Monocular Height Estimation from Single Remote Sensing Images
Sining Chen, Xiao Xiang Zhu
Monocular height estimation plays a critical role in 3D perception for remote sensing, offering a cost-effective alternative to multi-view or LiDAR-based methods. While deep learni…
GlobalBuildingAtlas: An Open Global and Complete Dataset of Building Polygons, Heights and LoD1 3D Models
Xiao Xiang Zhu, Sining Chen, Fahong Zhang +2
We introduce GlobalBuildingAtlas, a publicly available dataset providing global and complete coverage of building polygons, heights and Level of Detail 1 (LoD1) 3D building models.…
Enhancing Monocular Height Estimation via Weak Supervision from Imperfect Labels
Sining Chen, Yilei Shi, Xiao Xiang Zhu
Monocular height estimation provides an efficient and cost-effective solution for three-dimensional perception in remote sensing. However, training deep neural networks for this ta…
Building Floor Number Estimation from Crowdsourced Street-Level Images: Munich Dataset and Baseline Method
Yao Sun, Sining Chen, Yifan Tian +1
Accurate information on the number of building floors, or above-ground storeys, is essential for household estimation, utility provision, risk assessment, evacuation planning, and…