Satellite image analysis using crowdsourcing data for collaborative mapping: current and opportunities
Author:
Affiliation:
1. College of Land Science and Technology, China Agricultural University, Beijing, People’s Republic of China
2. Department of Geosciences, University of Arkansas, Fayetteville, AR, USA
Funder
National Key Research and Development Program
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences,Computer Science Applications,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/17538947.2018.1556352
Reference48 articles.
1. Rule-guided human classification of Volunteered Geographic Information
2. Crowdsourcing as a Model for Problem Solving
3. Crowdsourcing
4. Christophe, E., J. Inglada, and J. Maudlin. 2010. “Crowd-sourcing Satellite Image Analysis.” In Geoscience and Remote Sensing Symposium (IGARSS)” IEEE Geoscience and Remote Sensign Society, 1430–1433. doi:10.1109/IGARSS.2010.5648833.
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