Height-Assisted Semi-Supervised Building Footprint Extraction From Optical Remote Sensing Images (opens in new tab)

Automatic building footprint extraction from optical remote sensing (RS) images is popular and crucial for various downstream applications. Current building footprint extraction methods are mainly based on deep learning, which requires large amounts of manually labeled data for model training, limiting their practical deployment. Semi-supervised semantic segmentation (SSS), which leverages limited labeled data for supervised learning and abundant unlabeled data for unsupervised self-training ...