Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning-Reference-Cited by-同舟云学术

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Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning

Published:2019-12-09 Issue:4 Volume:34 Page:824-849
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Duan Weiwei¹,Chiang Yao-Yi²,Leyk Stefan³^ORCID,Uhl Johannes H.³^ORCID,Knoblock Craig A.⁴

Affiliation:

1. Department of Computer Science, University of Southern California, Los Angeles, USA

2. Spatial Sciences Institute, University of Southern California, Los Angeles, USA

3. Department of Geography, University of Colorado Boulder, Boulder, CO, USA

4. Information Sciences Institute, University of Southern California, Los Angeles, USA

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2019.1698742

Reference23 articles.

1. Automatically Conflating Road Vector Data with Orthoimagery

2. Recognizing text in raster maps

3. A Survey of Digital Map Processing Techniques

4. SRC

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