Data‐driven polyline simplification using a stacked autoencoder‐based deep neural network
Author:
Affiliation:
1. School of Geography and Information Engineering China University of Geosciences Wuhan China
2. National Engineering Research Center for Geographic Information System China University of Geosciences Wuhan China
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
General Earth and Planetary Sciences
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12965
Reference36 articles.
1. Envelope generation and simplification of polylines using Delaunay triangulation
2. A Simplification of Ria Coastline with Geomorphologic Characteristics Preserved
3. Building simplification using backpropagation neural networks: a combination of cartographers' expertise and raster-based local perception
4. Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation
5. Deep Learning: Methods and Applications
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