53 citations · 58 across the 8 of their papers we have counts for
8 papers
A Deep Dive into OpenStreetMap Research Since its Inception (2008-2024): Contributors, Topics, and Future Trends
Yao Sun, Liqiu Meng, Andres Camero +2
OpenStreetMap (OSM) has transitioned from a pioneering volunteered geographic information (VGI) project into a global, multi-disciplinary research nexus. This study presents a bibl…
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…
TUM2TWIN: Introducing the Large-Scale Multimodal Urban Digital Twin Benchmark Dataset
Olaf Wysocki, Benedikt Schwab, Manoj Kumar Biswanath +31
Urban Digital Twins (UDTs) have become essential for managing cities and integrating complex, heterogeneous data from diverse sources. Creating UDTs involves challenges at multiple…
Towards Large-scale Building Attribute Mapping using Crowdsourced Images: Scene Text Recognition on Flickr and Problems to be Solved
Yao Sun, Anna Kruspe, Liqiu Meng +4
Crowdsourced platforms provide huge amounts of street-view images that contain valuable building information. This work addresses the challenges in applying Scene Text Recognition…
Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks
Yao Sun, Lichao Mou, Yuanyuan Wang +2
Building height retrieval from synthetic aperture radar (SAR) imagery is of great importance for urban applications, yet highly challenging owing to the complexity of SAR data. Thi…
CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images
Yao Sun, Yuansheng Hua, Lichao Mou +1
Object retrieval and reconstruction from very high resolution (VHR) synthetic aperture radar (SAR) images are of great importance for urban SAR applications, yet highly challenging…
Instance segmentation of buildings using keypoints
Qingyu Li, Lichao Mou, Yuansheng Hua +4
Building segmentation is of great importance in the task of remote sensing imagery interpretation. However, the existing semantic segmentation and instance segmentation methods oft…
So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification
Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu +14
Access to labeled reference data is one of the grand challenges in supervised machine learning endeavors. This is especially true for an automated analysis of remote sensing images…