Cascaded CNN and global–local attention transformer network-based semantic segmentation for high-resolution remote sensing image
Xiaohui Liu,
Lei Zhang,
Rui Wang
et al.
Abstract:High-resolution remote sensing images (HRRSIs) contain rich local spatial information and long-distance location dependence, which play an important role in semantic segmentation tasks and have received more and more research attention. However, HRRSIs often exhibit large intraclass variance and small interclass variance due to the diversity and complexity of ground objects, thereby bringing great challenges to a semantic segmentation task. In most networks, there are numerous small-scale object omissions and … Show more
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