Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Automatic derivation of on-demand tactile maps for visually impaired people: first experiments and research agenda
Tactile maps are essential tools for visually impaired people to comprehend space and to
support the simple pedestrian trips made difficult by their disability. Tactile maps are created …
support the simple pedestrian trips made difficult by their disability. Tactile maps are created …
[HTML][HTML] Move and remove: Multi-task learning for building simplification in vector maps with a graph convolutional neural network
Simplification of building footprints is an essential task in topographic map generalization
from large to medium scales. The traditional rule-or constraint-based algorithms commonly …
from large to medium scales. The traditional rule-or constraint-based algorithms commonly …
A hybrid approach to building simplification with an evaluator from a backpropagation neural network
M Yang, T Yuan, X Yan, T Ai, C Jiang - International Journal of …, 2022 - Taylor & Francis
Research has developed numerous algorithms to simplify building data. Each algorithm has
strengths and weaknesses in addressing shape characteristics, but no single algorithm can …
strengths and weaknesses in addressing shape characteristics, but no single algorithm can …
A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints
X Yan, M Yang - Cartography and Geographic Information Science, 2024 - Taylor & Francis
Polyline and building simplification remain challenging in cartography. Most proposed
algorithms are geometric-based and rely on specific rules. In this study, we propose a deep …
algorithms are geometric-based and rely on specific rules. In this study, we propose a deep …
[HTML][HTML] SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps
Building generalization is an essential task in generating multi-scale topographic maps. The
progress of deep learning offers a new paradigm to overcome the coordination challenges …
progress of deep learning offers a new paradigm to overcome the coordination challenges …
[HTML][HTML] Template matching and simplification method for building features based on shape cognition
This study proposes a template matching simplification method from the perspective of
shape cognition based on the typical template characteristics of building distributions and …
shape cognition based on the typical template characteristics of building distributions and …
[HTML][HTML] A Generalization of Building Clusters in an Urban Wind Field Simulated by CFD
Y Qiu, Y He, M Li, X Zhu - Atmosphere, 2023 - mdpi.com
The urban climate has a critical influence on develo** sustainable cities, and one
important factor is the urban wind environment. Moreover, refining urban wind fields is …
important factor is the urban wind environment. Moreover, refining urban wind fields is …
Multimodal travel‐time maps with formally correct and schematic isochrones
The automatic generation of travel‐time maps is a prerequisite for many fields of application
such as tourist assistance and spatial decision support systems, for example to analyze the …
such as tourist assistance and spatial decision support systems, for example to analyze the …
[HTML][HTML] A new approach to line simplification based on image processing: A case study of water area boundaries
Y Shen, T Ai, Y He - ISPRS International Journal of Geo-Information, 2018 - mdpi.com
Line simplification is an important component of map generalization. In recent years,
algorithms for line simplification have been widely researched, and most of them are based …
algorithms for line simplification have been widely researched, and most of them are based …
[PDF][PDF] Building simplification of vector maps using graph convolutional neural networks
Buildings form one of the most important object classes of topographic maps and its
generalization is a very critical process to create cartographic models at multiple scales …
generalization is a very critical process to create cartographic models at multiple scales …