Estimating False Positive Contamination in Crater Annotations from Citizen Science Data.
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ABSTRACT:
SUBMITTER: Tar PD
PROVIDER: S-EPMC7114961 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
Publications
Estimating False Positive Contamination in Crater Annotations from Citizen Science Data.
Tar P D PD Bugiolacchi R R Thacker N A NA Gilmour J D JD
Earth, moon, and planets 20161119 2
Web-based citizen science often involves the classification of image features by large numbers of minimally trained volunteers, such as the identification of lunar impact craters under the Moon Zoo project. Whilst such approaches facilitate the analysis of large image data sets, the inexperience of users and ambiguity in image content can lead to contamination from false positive identifications. We give an approach, using Linear Poisson Models and image template matching, that can quantify leve ...[more]
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