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    • Construction of a high-resolution remote sensing benchmark dataset and investigation of mountain road extraction methods: AsiaMountain-Road

    • A breakthrough has been made in the difficulty of extracting mountain roads in Asia. Relevant experts have constructed the first high-resolution remote sensing image mountain road dataset (AsiaMountain Road) covering typical mountainous areas in multiple Asian countries, and proposed a multi-resolution adaptive dual aggregation network (MR AFDANet), providing strong support for the research and application of automatic mountain road extraction algorithms.
    • Pages: 1-16(2026)   

      Received:23 October 2025

      Revised:2026-03-02

      Accepted:09 March 2026

      Online First:09 March 2026

    • DOI: 10.11834/jig.250521     

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  • WANG Yilin, Meng Yu, Xi Zhihao, Deng Yupeng, Liu Diyou, Chen Jingbo. Construction of a high-resolution remote sensing benchmark dataset and investigation of mountain road extraction methods: AsiaMountain-Road[J/OL]. Journal of Image and Graphics, 2026:1-16. DOI: 10.11834/jig.250521. DOI:
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相关作者

Bai Dong 信息工程大学地理空间信息学院;部队
Yu Ying 信息工程大学地理空间信息学院
Song Liang 信息工程大学地理空间信息学院
Cheng Binbin 信息工程大学地理空间信息学院
Gao Han 信息工程大学地理空间信息学院;部队
林辉 中南林学院资源与环境学院
李际平 中南林学院资源与环境学院
莫登奎 中南林学院资源与环境学院

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Institute of Geospatial Information, Information Engineering University
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中南林学院资源与环境学院
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