266 citations · 352 across the 6 of their papers we have counts for
6 papers
Depth-Enhanced Feature Pyramid Network for Occlusion-Aware Verification of Buildings from Oblique Images
Qing Zhu, Shengzhi Huang, Han Hu +3
Detecting the changes of buildings in urban environments is essential. Existing methods that use only nadir images suffer from severe problems of ambiguous features and occlusions…
Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment
Qing Zhu, Qisen Shang, Han Hu +2
Photogrammetric mesh models obtained from aerial oblique images have been widely used for urban reconstruction. However, the photogrammetric meshes also suffer from severe texture…
Deep Fusion of Local and Non-Local Features for Precision Landslide Recognition
Qing Zhu, Lin Chen, Han Hu +3
Precision mapping of landslide inventory is crucial for hazard mitigation. Most landslides generally co-exist with other confusing geological features, and the presence of such are…
Leveraging Photogrammetric Mesh Models for Aerial-Ground Feature Point Matching Toward Integrated 3D Reconstruction
Qing Zhu, Zhendong Wang, Han Hu +3
Integration of aerial and ground images has been proved as an efficient approach to enhance the surface reconstruction in urban environments. However, as the first step, the featur…
Fast and Regularized Reconstruction of Building Façades from Street-View Images using Binary Integer Programming
Han Hu, Libin Wang, Mier Zhang +2
Regularized arrangement of primitives on building façades to aligned locations and consistent sizes is important towards structured reconstruction of urban environment. Mixed integ…
MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery
Qing Zhu, Cheng Liao, Han Hu +2
Accurately and efficiently extracting building footprints from a wide range of remote sensed imagery remains a challenge due to their complex structure, variety of scales and diver…