Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …
sustainable development by harnessing the power of cross-domain data fusion from diverse …
Remote Sensing Image Interpretation: Deep Belief Networks for Multi-Object Analysis
Object Classification in Remote Sensing Imagery holds paramount importance for extracting
meaningful insights from complex aerial scenes. Conventional methods encounter …
meaningful insights from complex aerial scenes. Conventional methods encounter …
Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs
Most supervised geographic mapping methods with very-high-resolution (VHR) images are
designed for a specific task, leading to high label-dependency and inadequate task …
designed for a specific task, leading to high label-dependency and inadequate task …
Urbankg: An urban knowledge graph system
Every day, our living city produces a tremendous amount of spatial-temporal data, involved
with multiple sources from the individual scale to the city scale. Undoubtedly, such massive …
with multiple sources from the individual scale to the city scale. Undoubtedly, such massive …
When urban region profiling meets large language models
Urban region profiling from web-sourced data is of utmost importance for urban planning
and sustainable development. We are witnessing a rising trend of LLMs for various fields …
and sustainable development. We are witnessing a rising trend of LLMs for various fields …
Knowledge-infused contrastive learning for urban imagery-based socioeconomic prediction
Monitoring sustainable development goals requires accurate and timely socioeconomic
statistics, while ubiquitous and frequently-updated urban imagery in web like satellite/street …
statistics, while ubiquitous and frequently-updated urban imagery in web like satellite/street …
Towards an integrated view of semantic annotation for POIs with spatial and textual information
Categories of Point of Interest (POI) facilitate location-based services from many aspects like
location search and POI recommendation. However, POI categories are often incomplete …
location search and POI recommendation. However, POI categories are often incomplete …
A satellite imagery dataset for long-term sustainable development in united states cities
Cities play an important role in achieving sustainable development goals (SDGs) to promote
economic growth and meet social needs. Especially satellite imagery is a potential data …
economic growth and meet social needs. Especially satellite imagery is a potential data …
Predicting multi-level socioeconomic indicators from structural urban imagery
Understanding economic development and designing government policies requires
accurate and timely measurements of socioeconomic activities. In this paper, we show how …
accurate and timely measurements of socioeconomic activities. In this paper, we show how …
Self-supervised Learning for Geospatial AI: A Survey
The proliferation of geospatial data in urban and territorial environments has significantly
facilitated the development of geospatial artificial intelligence (GeoAI) across various urban …
facilitated the development of geospatial artificial intelligence (GeoAI) across various urban …