Towards Cadastral Intelligence?: Extracting visible boundaries from UAV data through image analysis and machine learning
Resource information
Date of publication
May 2019
Resource Language
ISBN / Resource ID
NARCIS:ut:oai:ris.utwente.nl:publications/c42e7e9d-cbdc-41b5-b0e2-88d1452dc4a5
Copyright details
Open Access, this refers to access without restrictions, and without financial incentives. Access to the resource is gained directly, without any obstacles. From info:eu-repo/semantics/openAccess
The inability to access formal land registration systems fosters insecure land tenure and conflicts, especially in developing countries. This calls for low-cost and scalable mapping solutions aligning with fit-for-purpose land administration. The work presented in this article supports the UAV-based mapping of land tenure inspired by state-of-the-art approaches from remote sensing, geoinformatics and computer vision. The guiding question is how to develop an automated approach that promotes the paradigm shift towards cadastral intelligence which integrates human-based expert knowledge with automatically generated machine-based knowledge. online version:
