2020
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery
ECCV 2020poster
Land cover classification of satellite imagery is an important step toward analyzing the Earth's surface. Existing models assume a closed-set setting where both the training and testing classes belong to the same label set. However, due to the unique characteristics of satellite imagery with an extr…