Domain Adaptation for Deforestation Detection in Remote Sensing: Addressing Class Imbalance and Performance Estimation
Deep learning approaches applied to remote sensing imagery have become essential for large-scale monitoring and quantification of global deforestation. Their performance, however, is strongly constrained by the limited availability of extensive annotated datasets. Domain adaptation has emerged as a promising strategy...