activity
20182022
most citedFast and Robust Matching for Multimodal Remote Sensing Image Registration

413 citations · 793 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2022

Semi-Supervised Adversarial Recognition of Refined Window Structures for Inverse Procedural Façade Modeling

Han Hu, Xinrong Liang, Yulin Ding +6

Deep learning methods are notoriously data-hungry, which requires a large number of labeled samples. Unfortunately, the large amount of interactive sample labeling efforts has dram…

cs.LG2021★ 28 cited

Meta-learning an Intermediate Representation for Few-shot Block-wise Prediction of Landslide Susceptibility

Li Chen, Yulin Ding, Saeid Pirasteh +6

Predicting a landslide susceptibility map (LSM) is essential for risk recognition and disaster prevention. Despite the successful application of data-driven approaches for LSM pred…

cs.CV2020

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…

cs.CV2020★ 14 cited

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…

eess.IV2020★ 5 cited

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…

cs.CV2020★ 53 cited

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…

cs.CV2020★ 14 cited

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…

cs.CV2019★ 266 cited

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…

cs.CV2018★ 413 cited

Fast and Robust Matching for Multimodal Remote Sensing Image Registration

Yuanxin Ye, Lorenzo Bruzzone, Jie Shan +2

While image registration has been studied in remote sensing community for decades, registering multimodal data [e.g., optical, LiDAR, SAR, and map] remains a challenging problem be…