Unsupervised historical map registration by a deformation neural network-Reference-Cited by-同舟云学术

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Unsupervised historical map registration by a deformation neural network

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery
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Author:

Wu Sidi¹,Schnürer Raimund¹,Heitzler Magnus¹,Hurni Lorenz¹

Affiliation:

1. ETH Zurich, Switzerland

Funder

Swiss National Science Foundation (SNSF)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3557918.3565871

Reference26 articles.

1. Automatic Georeferencing of Heterogeneous Historic and Illustrated Maps

2. A Computational Approach to Edge Detection

3. Aerial image semantic segmentation using DCNN predicted distance maps

4. Deformable Convolutional Networks

5. Current trends in medical image registration and fusion

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AU3-GAN: A Method for Extracting Roads from Historical Maps Based on an Attention Generative Adversarial Network;Journal of Geovisualization and Spatial Analysis;2024-07-16

2. Artificial intelligence studies in cartography: a review and synthesis of methods, applications, and ethics;Cartography and Geographic Information Science;2024-01-16

3. Automatic evaluation and optimization of map registration based on feature overlap area ratio;Geocarto International;2024-01

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