- Article
FARMSAR: Fixing AgRicultural Mislabels Using Sentinel-1 Time Series and AutoencodeRs
- Thomas Di Martino,
- Régis Guinvarc’h,
- Laetitia Thirion-Lefevre and
- Elise Colin
This paper aims to quantify the errors in the provided agricultural crop types, estimate the possible error rate in the available dataset, and propose a correction strategy. This quantification could establish a confidence criterion useful for decisi...