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International Journal of Geographical Information Science Volume 34, 2020 - Issue 4: Artificial intelligence techniques for geographic knowledge discovery
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Research Articles

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

Weiwei DuanDepartment of Computer Science, University of Southern California, Los Angeles, USACorrespondence[email protected]
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,
Yao-Yi ChiangSpatial Sciences Institute, University of Southern California, Los Angeles, USAView further author information
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Stefan LeykDepartment of Geography, University of Colorado Boulder, Boulder, CO, USAORCID Iconhttps://orcid.org/0000-0001-9180-4853View further author information
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Johannes H. UhlDepartment of Geography, University of Colorado Boulder, Boulder, CO, USAORCID Iconhttps://orcid.org/0000-0002-4861-5915View further author information
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Craig A. KnoblockInformation Sciences Institute, University of Southern California, Los Angeles, USAView further author information
Pages 824-849 | Received 15 May 2018, Accepted 25 Nov 2019, Published online: 09 Dec 2019

Citations (15)

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Stefano De Sabbata & Pengyuan Liu. (2023) A graph neural network framework for spatial geodemographic classification. International Journal of Geographical Information Science 37:12, pages 2464-2486.
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Xin Zhang, Ya’nan Zhou & Jiancheng Luo. (2022) Deep learning for processing and analysis of remote sensing big data: a technical review. Big Earth Data 6:4, pages 527-560.
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Tengda Zhang, Jiguang Dai, Yan Li & Yilei Zhang. (2022) Vector data partition correction method supported by deep learning. International Journal of Remote Sensing 43:15-16, pages 5603-5635.
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Articles from other publishers (12)

George Malaperdas, Rebecca Grethe & Nikolaos Zacharias. (2023) Depicting the past: The value of old maps and topographic diagrams in cultural heritage through GIS. Journal of Archaeological Science: Reports 52, pages 104276.
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Abhishek Potnis, Dalton Lunga, Philipe Dias, Lexie Yang, Jacob Arndt & Jordan Bowman. (2023) Scaling Automatic Vector Data Alignment to Satellite Imagery. Scaling Automatic Vector Data Alignment to Satellite Imagery.
Yue Lin, Jialin Li, Adam Porr, Gerika Logan, Ningchuan Xiao & Harvey J. Miller. (2023) Creating building-level, three-dimensional digital models of historic urban neighborhoods from Sanborn Fire Insurance maps using machine learning. PLOS ONE 18:6, pages e0286340.
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Junbo Yu, Tinghua Ai, Haijiang Xu, Lingrui Yan & Yilang Shen. (2023) Inconsistency Detection in Cross-Layer Tile Maps with Super-Pixel Segmentation. ISPRS International Journal of Geo-Information 12:6, pages 244.
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Cheng-Shih Wong, Hsiung-Ming Liao, Richard Tzong-Han Tsai & Ming-Ching Chang. (2022) Semi-supervised learning for topographic map analysis over time: a study of bridge segmentation. Scientific Reports 12:1.
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Chenjing Jiao, Magnus Heitzler & Lorenz Hurni. (2022) A fast and effective deep learning approach for road extraction from historical maps by automatically generating training data with symbol reconstruction. International Journal of Applied Earth Observation and Geoinformation 113, pages 102980.
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Chenjing Jiao, Magnus Heitzler & Lorenz Hurni. (2021) A survey of road feature extraction methods from raster maps. Transactions in GIS 25:6, pages 2734-2763.
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May Yuan. (2020) GIS research to address tensions in geography . Singapore Journal of Tropical Geography 42:1, pages 13-30.
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Yekta Said Can, Petrus Johannes Gerrits & M. Erdem Kabadayi. (2021) Automatic Detection of Road Types From the Third Military Mapping Survey of Austria-Hungary Historical Map Series With Deep Convolutional Neural Networks. IEEE Access 9, pages 62847-62856.
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Johannes H. Uhl & Weiwei Duan. 2021. Handbook of Big Geospatial Data. Handbook of Big Geospatial Data 509 522 .
Motti Zohar. (2020) Advancing the historical geography of late Ottoman and British Mandate Palestine using GIScience: A review. Transactions in GIS 24:6, pages 1464-1481.
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Konstantinos Demertzis & Lazaros Iliadis. (2020) GeoAI: A Model-Agnostic Meta-Ensemble Zero-Shot Learning Method for Hyperspectral Image Analysis and Classification. Algorithms 13:3, pages 61.
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