Transform paper-based cadastral data into digital systems using GIS and end-to-end deep learning techniques

Author:

Mango Joseph12ORCID,Wang Moyang1,Mu Senlin1,Zhang Di1,Ngondo Jamila3ORCID,Valerian-Peter Regina4ORCID,Claramunt Christophe5ORCID,Li Xiang1678ORCID

Affiliation:

1. Key Laboratory of Geographic Information Science (Ministry of Education) and School of Geographic Sciences, East China Normal University, Shanghai, China

2. Department of Transportation and Geotechnical Engineering, University of Dar es Salaam, Dar es Salaam, Tanzania

3. Department of Geography and Economics, Dar es Salaam University College of Education, Dar es Salaam, Tanzania

4. Department of Geospatial Sciences and Technology, Ardhi University, Dar es Salaam, Tanzania

5. Naval Academy Research Institute, Lanvéoc-Poulmic, France

6. Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai, China

7. Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), East China Normal University, Shanghai, China

8. Chongqing Key Laboratory of Precision Optics, Chongqing Institute of East China Normal University, Chongqing, China

Publisher

Informa UK Limited

Subject

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

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