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Found 4 papers, 1 papers with code
Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks
Artificial intelligence (AI) approaches nowadays have gained remarkable success in single-modality-dominated remote sensing (RS) applications, especially with an emphasis on individual urban environments (e. g., single cities or regions).
Orientation-Guided Contrastive Learning for UAV-View Geo-Localisation
We experimentally demonstrate that this prediction supports the training and outperforms previous approaches.
Ranked #1 on
Drone-view target localization
on University-1652
Semi-supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation
In this work, we propose a semi-supervised learning (SSL) method of automatically estimating building height from Mapillary SVI and OSM data to generate low-cost and open-source 3D city modeling in LoD1.
Geo-Information Harvesting from Social Media Data
In this article, we address key aspects in the field, including data availability, analysis-ready data preparation and data management, geo-information extraction from social media text messages and images, and the fusion of social media and remote sensing data.
