Improved SmapGAN remote sensing image map generation based on multi-head self-attention and carafe
Zhipeng Ding,
Ben Wang,
Shuifa Sun
et al.
Abstract:The changes in ground roads, buildings, and occurrences of natural disasters lead to mismatches between the actual ground conditions and existing maps. Through style transfer between real-time remote sensing images and maps, map content can be rapidly generated and updated. However, in existing methods for generating maps from remote sensing images based on SmapGAN, we first found that using ResBlock as the style conversion module fails to establish long-distance relationships between features. In addition, th… Show more
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