App. Res. of Comp. Accepted Paper
Vol. 44, 2027 No. 2

Spatial-global multi-scale attention network for semantic segmentation of high-resolution remote sensing images

Gu Ming
Zhang Sunjie
School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2026.06.0183

Abstract

To address insufficient global dependency modeling and inadequate detail recovery in semantic segmentation of high-resolution remote-sensing images, especially in scenes with similar object textures, blurred boundaries, and small objects, this study proposed a spatial-global multi-scale attention network named SGMA-Net. The network embedded a long-range spatial-global channel attention block (LSGA-Block) into middle- and high-level skip connections. LSGA-Block jointly modeled spatial and channel dependencies to strengthen the discrimination of long-range object associations. In the decoder, the multi-scale attention upsampling block (MSAU-Block) replaced explicit interpolation with sub-pixel rearrangement and combined multi-scale depthwise convolutions with channel shuffling to reduce edge blurring and missed small objects during upsampling. Experiments on the Vaihingen and Potsdam datasets showed that SGMA-Net achieved mean intersection over union (mIoU) scores of 86.52% and 88.17%, exceeding the baseline by 1.18 and 0.71 percentage points, respectively. These results indicate that SGMA-Net improves overall segmentation performance.

Foundation Support

国家自然科学基金资助项目(61603255)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.06.0183
Publish at: Application Research of Computers Accepted Paper, Vol. 44, 2027 No. 2

Publish History

[2026-10-23] Accepted Paper

Cite This Article

顾铭, 张孙杰. 面向高分辨率遥感影像语义分割的空间-全局多尺度注意力网络 [J]. 计算机应用研究, 2027, 44 (2). (2026-10-24). https://doi.org/10.19734/j.issn.1001-3695.2026.06.0183. (Gu Ming, Zhang Sunjie. Spatial-global multi-scale attention network for semantic segmentation of high-resolution remote sensing images [J]. Application Research of Computers, 2027, 44 (2). (2026-10-24). https://doi.org/10.19734/j.issn.1001-3695.2026.06.0183. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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