相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A hybrid approach to building simplification with an evaluator from a backpropagation neural network
Min Yang et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2022)
Filling gaps of cartographic polylines by using an encoder-decoder model
Wenhao Yu et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2022)
Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps
Xiongfeng Yan et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2021)
Spatial interpolation using conditional generative adversarial neural networks
Di Zhu et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2020)
GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond
Krzysztof Janowicz et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2020)
Using multi-scale and hierarchical deep convolutional features for 3D semantic classification of TLS point clouds
Zhou Guo et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2020)
A multi-scale representation model of polyline based on head/tail breaks
Pengcheng Liu et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2020)
Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation
Azelle Courtial et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)
Recognition of building group patterns using graph convolutional network
Rong Zhao et al.
CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE (2020)
GeoAI: Where machine learning and big data converge in GIScience
Wenwen Li
JOURNAL OF SPATIAL INFORMATION SCIENCE (2020)
Learning Cartographic Building Generalization with Deep Convolutional Neural Networks
Yu Feng et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)
Is deep learning the new agent for map generalization?
Guillaume Touya et al.
INTERNATIONAL JOURNAL OF CARTOGRAPHY (2019)
Classifying airborne LiDAR point clouds via deep features learned by a multi-scale convolutional neural network
Ruibin Zhao et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2018)
Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery
Bo Huang et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Envelope generation and simplification of polylines using Delaunay triangulation
Tinghua Ai et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2017)
A Comparative Study of Various Supervised Learning Approaches to Selective Omission in a Road Network
Qi Zhou et al.
CARTOGRAPHIC JOURNAL (2017)
A New Simplification Approach Based on the Oblique-Dividing-Curve Method for Contour Lines
Haizhong Qian et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2016)
A review of road extraction from remote sensing images
Weixing Wang et al.
JOURNAL OF TRAFFIC AND TRANSPORTATION ENGINEERING-ENGLISH EDITION (2016)
Fourier-based multi-scale representation and progressive transmission of cartographic curves on the internet
Pengcheng Liu et al.
CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE (2016)
SimpliFly: A Methodology for Simplification and Thematic Enhancement of Trajectories
Katerina Vrotsou et al.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2015)
Area-preservation Simplification of Polygonal Boundaries by the Use of the Structured Total Least Squares Method with Constraints
Xiaohua Tong et al.
TRANSACTIONS IN GIS (2015)
A Simplification of Ria Coastline with Geomorphologic Characteristics Preserved
Tinghua Ai et al.
MARINE GEODESY (2014)
Building simplification using backpropagation neural networks: a combination of cartographers' expertise and raster-based local perception
Boyan Cheng et al.
GISCIENCE & REMOTE SENSING (2013)
Deep Learning: Methods and Applications
Li Deng et al.
FOUNDATIONS AND TRENDS IN SIGNAL PROCESSING (2013)
Scale-specific automated line simplification by vertex clustering on a hexagonal tessellation
Paulo Raposo
CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE (2013)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
Dynamic simplification and visualization of large maps
N Mustafa et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2006)