2024
DOI: 10.1049/cvi2.12313
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DEUFormer: High‐precision semantic segmentation for urban remote sensing images

Xinqi Jia,
Xiaoyong Song,
Lei Rao
et al.

Abstract: Urban remote sensing image semantic segmentation has a wide range of applications, such as urban planning, resource exploration, intelligent transportation, and other scenarios. Although UNetFormer performs well by introducing the self‐attention mechanism of Transformer, it still faces challenges arising from relatively low segmentation accuracy and significant edge segmentation errors. To this end, this paper proposes DEUFormer by employing a special weighted sum method to fuse the features of the encoder and… Show more

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