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Semantic segmentation of aerial images based on multi-scale feature interaction and fusion
Information Sciences | 更新时间：2026-03-05

    • Semantic segmentation of aerial images based on multi-scale feature interaction and fusion

    • “In response to the challenge of semantic segmentation in aerial images, experts have proposed cross level interaction and orientation aware networks. Through innovative designs such as direction decoupling attention strategies, the segmentation accuracy and generalization ability have been significantly improved, bringing new breakthroughs to the field of aerial image processing.”
    • Optics and Precision Engineering   Vol. 34, Issue 2, Pages: 267-279(2026)

    • DOI：10.37188/OPE.20263402.0267    

      CLC： TP394.1;TH691.9
    • CSTR：32169.14.OPE.20263402.0267    

    • Received：20 August 2025，

      Revised：2025-09-17，

      Published：25 January 2026

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  • LIU Jie,WU Ziyu,TIAN Ming,et al.Semantic segmentation of aerial images based on multi-scale feature interaction and fusion[J].Optics and Precision Engineering,2026,34(02):267-279.

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