Towards Automated Cadastral Map Improvement: A Clustering Approach for Error Pattern Recognition
Positional accuracy in cadastral data is fundamental for secure land tenure and efficient land administration. However, many land administration systems (LASs) experience difficulties to meet accuracy standards, particularly when data come from various sources or historical maps, leading to disrupti...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
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| Series: | Geomatics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-7418/5/2/16 |
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