2025
Enhancing Change Detection in Remote Sensing: Integrating Synthetic Data with Semi-Supervised Learning
ICASSP 2025accepted
Change detection (CD) in remote sensing is a crucial yet challenging task, particularly due to the labor-intensive nature of labeling bi-temporal images. We introduce a novel framework that leverages synthetic datasets, style transfer, and semi-supervised learning to enhance CD model performance whi…