TL;DR
A programmatic generation model for urban road landscapes that integrates three-dimensional convolutional neural networks (3D-CNNs) and attention mechanisms to improve the efficiency and accuracy of road landscape generation is proposed.
Urban functional area division helps to improve urban planning, new-area construction and public service distribution. To address the deficiency of single-source imagery, this paper proposes a cross-attention multimodal Transformer that integrates street-view cues, such as building facades and business types, with sate...
Integrating big data analytics with sustainable development offers a new avenue for understanding complex human-environment interactions in urban spaces, particularly in urban tourism planning. However, limited research has examined how user-generated content (UGC) can translate tourists’ perceived destination images i...
This work developed Mask-based Weighted Conditional Flow Matching (MWCFM), which extends Flow Matching by introducing contextual masks for precise feature focusing, which enables targeted training on critical spatial elements relevant to urban planning.
Three-dimensional city models are widely used for simulation and analysis, yet their creation remains constrained by data availability, geometric errors, and the labour-intensive nature of manual modelling. Procedurally generated cities offer a practical alternative, but existing methods lack plausibility because they...
Accurate prediction of urban function zones is essential for effective spatial planning and urban governance. Although road network characteristics have been widely incorporated into existing studies as key indicators for urban function zone prediction, they are often simplified into distance‐ or density‐based descript...
Accurate extraction of road networks from high-resolution remote sensing imagery is critical for autonomous driving, urban planning, and intelligent transportation systems. However, existing methods often struggle to preserve connectivity and topology due to the narrow and curvilinear nature of roads, complex backgroun...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
