High-resolution remote sensing images, with fine spatial detail but limited coverage and infrequent revisits, often exhibit temporal discrepancies that hinder large-scale Earth observations. While ...

Semantic segmentation of high-resolution remote sensing images is vital in downstream applications such as land-cover mapping, urban planning, and disaster assessment. Existing Transformer-based ...