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20182026
most citedBuilding Instance Classification Using Street View Images

373 citations · 981 across the 22 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Reconstructing Building Height from Spaceborne TomoSAR Point Clouds Using a Dual-Topology Network

Zhaiyu Chen, Yuanyuan Wang, Yilei Shi +1

Reliable building height estimation is essential for various urban applications. Spaceborne SAR tomography (TomoSAR) provides weather-independent, side-looking observations that ca…

cs.CV2024

GlobalBuildingMap -- Unveiling the Mystery of Global Buildings

Xiao Xiang Zhu, Qingyu Li, Yilei Shi +3

Understanding how buildings are distributed globally is crucial to revealing the human footprint on our home planet. This built environment affects local climate, land surface albe…

cs.CV2023★ 3 cited

High Quality Large-Scale 3-D Urban Mapping with Multi-Master TomoSAR

Yilei Shi, Richard Bamler, Yuanyuan Wang +1

Multi-baseline interferometric synthetic aperture radar (InSAR) techniques are effective approaches for retrieving the 3-D information of urban areas. In order to obtain a plausibl…

cs.CV2022★ 3 cited

Geo-Information Harvesting from Social Media Data

Xiao Xiang Zhu, Yuanyuan Wang, Mrinalini Kochupillai +9

As unconventional sources of geo-information, massive imagery and text messages from open platforms and social media form a temporally quasi-seamless, spatially multi-perspective s…

cs.CV2019★ 53 cited

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…

cs.CV2018★ 373 cited

Building Instance Classification Using Street View Images

Jian Kang, Marco Körner, Yuanyuan Wang +2

Land-use classification based on spaceborne or aerial remote sensing images has been extensively studied over the past decades. Such classification is usually a patch-wise or pixel…