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Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics
The past decade has witnessed the rapid development of geospatial artificial intelligence
(GeoAI) primarily due to the ground-breaking achievements in deep learning and machine …
(GeoAI) primarily due to the ground-breaking achievements in deep learning and machine …
[HTML][HTML] A graph convolutional neural network for classification of building patterns using spatial vector data
X Yan, T Ai, M Yang, H Yin - ISPRS journal of photogrammetry and remote …, 2019 - Elsevier
Abstract Machine learning methods, specifically, convolutional neural networks (CNNs),
have emerged as an integral part of scientific research in many disciplines. However, these …
have emerged as an integral part of scientific research in many disciplines. However, these …
From LiDAR point cloud towards digital twin city: Clustering city objects based on Gestalt principles
Recent advancement of remote sensing technologies has brought in accurate, dense, and
inexpensive city-scale Light Detection And Ranging (LiDAR) point clouds, which can be …
inexpensive city-scale Light Detection And Ranging (LiDAR) point clouds, which can be …
Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps
The shape of a geospatial object is an important characteristic and a significant factor in
spatial cognition. Existing shape representation methods for vector-structured objects in the …
spatial cognition. Existing shape representation methods for vector-structured objects in the …
[HTML][HTML] Learning cartographic building generalization with deep convolutional neural networks
Cartographic generalization is a problem, which poses interesting challenges to automation.
Whereas plenty of algorithms have been developed for the different sub-problems of …
Whereas plenty of algorithms have been developed for the different sub-problems of …
Digital map generalization at the age of enlightenment: a review of the first forty years
Z Li - The Cartographic Journal, 2007 - Taylor & Francis
Digital Map Generalization at the Age of Enlightenment: a Review of the First Forty Years
Page 1 OBSERVATIONS Digital Map Generalization at the Age of Enlightenment: a Review of …
Page 1 OBSERVATIONS Digital Map Generalization at the Age of Enlightenment: a Review of …
Morphological tessellation as a way of partitioning space: Improving consistency in urban morphology at the plot scale
Urban Morphometrics (UMM) is an expanding area of urban studies that aims at
representing and measuring objectively the physical form of cities to support evidence …
representing and measuring objectively the physical form of cities to support evidence …
[BOK][B] Algorithmic foundation of multi-scale spatial representation
Z Li - 2006 - taylorfrancis.com
With the widespread use of GIS, multi-scale representation has become an important issue
in the realm of spatial data handling. However, no book to date has systematically tackled …
in the realm of spatial data handling. However, no book to date has systematically tackled …
Classifying settlement types from multi-scale spatial patterns of building footprints
Urban settlements and urbanised populations continue to grow rapidly and much of this
transition is occurring in less developed countries. Remote sensing techniques are now …
transition is occurring in less developed countries. Remote sensing techniques are now …
Graph deep learning recognition of port ship behavior patterns from a network approach
R **n, J Pan, F Yang, X Yan, B Ai, Q Zhang - Ocean Engineering, 2024 - Elsevier
The detection and recognition of ship mobile behavior patterns based on automatic
identification system (AIS) data are crucial for ship navigation and maritime supervision …
identification system (AIS) data are crucial for ship navigation and maritime supervision …