Built-up area (BA) extraction using synthetic aperture radar (SAR) data has emerged as a potential method in urban research. Currently, typical deep-learning-based BA extractors show high false-alarm rates the layover areas and subsurface bedrock, which ignore surrounding information cannot be directly applied to large-scale mapping. To solve above problems, novel transformer-based framework fo...