| Autor: |
Crommelinck, S.C., Koeva, M.N. |
| Přispěvatelé: |
Department of Earth Observation Science, UT-I-ITC-ACQUAL, Faculty of Geo-Information Science and Earth Observation, Department of Urban and Regional Planning and Geo-Information Management, UT-I-ITC-PLUS |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
GIM International. GITC B.V. |
| ISSN: |
1566-9076 |
| Popis: |
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 |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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