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 …
SALT: A multifeature ensemble learning framework for mapping urban functional zones from VGI data and VHR images
Urban functional zone mapping is essential for providing deeper insights into urban
morphology and improving urban planning. The emergence of Volunteered Geographic …
morphology and improving urban planning. The emergence of Volunteered Geographic …
A review of crowdsourced geographic information for land-use and land-cover mapping: current progress and challenges
The emergence of crowdsourced geographic information (CGI) has markedly accelerated
the evolution of land-use and land-cover (LULC) mapping. This approach taps into the …
the evolution of land-use and land-cover (LULC) mapping. This approach taps into the …
[HTML][HTML] Building use and mixed-use classification with a transformer-based network fusing satellite images and geospatial textual information
Assigning detailed use categories to buildings is a challenging and relevant task in urban
land use classification with applications in urban planning, digital city modelling and …
land use classification with applications in urban planning, digital city modelling and …
MDCT: Multi-kernel dilated convolution and transformer for one-stage object detection of remote sensing images
Deep learning (DL)-based object detection algorithms have gained impressive
achievements in natural images and have gradually matured in recent years. However …
achievements in natural images and have gradually matured in recent years. However …
[HTML][HTML] Frozen city: Analysing the disruption and resilience of urban activities during a heavy snowfall event using Google Popular Times
Understanding the impact of climate change on cities is fundamental to address the
increasing occurrence of extreme weather events. This research aims to raise awareness …
increasing occurrence of extreme weather events. This research aims to raise awareness …
Integrating point-of-interest density and spatial heterogeneity to identify urban functional areas
C Huang, C Xiao, L Rong - Remote Sensing, 2022 - mdpi.com
Accurately identifying and delineating urban functional areas has seen increasing demand
in smart urban planning, landscape design, and resource allocation. Recently, POI (point of …
in smart urban planning, landscape design, and resource allocation. Recently, POI (point of …
How will ai transform urban observing, sensing, imaging, and mapping?
Advances in artificial intelligence (AI) and Earth observation (EO) have transformed urban
studies. This paper provides a commentary on how the AI-EO integration offers …
studies. This paper provides a commentary on how the AI-EO integration offers …
Classification of building types in Germany: A data-driven modeling approach
Details on building levels play an essential part in a number of real-world application
models. Energy systems, telecommunications, disaster management, the internet-of-things …
models. Energy systems, telecommunications, disaster management, the internet-of-things …
Urban vitality and its influencing factors: Comparative analysis based on taxi trajectory data
Z Zhang, Y Zhang, T He, R Xiao - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Taxis have always been an important part of the urban transportation system in metropolises
since they can meet many demands and greatly improve travel efficiency. This article …
since they can meet many demands and greatly improve travel efficiency. This article …