A method for extracting buildings from remote sensing images based on 3DJA-UNet3+
Yingjian Li,
Yonggang Li,
Xiangbin Zhu
et al.
Abstract:Building extraction aims to extract building pixels from remote sensing imagery, which plays a significant role in urban planning, dynamic urban monitoring, and many other applications. UNet3+ is widely applied in building extraction from remote sensing images. However, it still faces issues such as low segmentation accuracy, imprecise boundary delineation, and the complexity of network models. Therefore, based on the UNet3+ model, this paper proposes a 3D Joint Attention (3DJA) module that effectively enhance… Show more
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