Enhancing Data Quality in Crowdsourcing for Tree Outline Acquisition in Aerial Imagery via CNN-Based Real-Time Feedback
We propose a method to improve data quality in paid crowdsourcing by leveraging CNN-based real-time feedback. Data acquired through paid crowdsourcing often suffers from inconsistencies or inaccuracies as workers prioritize task completion speed over precision to maximize earnings. To address this i...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-annals.copernicus.org/articles/X-G-2025/197/2025/isprs-annals-X-G-2025-197-2025.pdf |
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