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    • Research on automatic identification of pure and mixed-use blocks based on open-source data

    • This paper introduces its research progress in the field of urban planning and management. Relevant experts propose a method based on open source interest surface AOI and interest point POI functional labels, combined with open map OSM and Sentinel-2 images to automatically extract pure and mixed functional samples. The ResNet34 model is used to achieve block function recognition, providing new ideas for improving land use efficiency and understanding urban functional diversity.
    • Vol. 30, Issue 2, Pages: 416-431(2026)   

      Received:28 May 2025

      Published:07 February 2026

    • DOI: 10.11834/jrs.20255185     

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  • Hu T,Guo Z X,Pan Z Y,He W,Xu Y M and Huang S G. 2026. Research on automatic identification of pure and mixed-use blocks based on open-source data. National Remote Sensing Bulletin, 30(2):416-431 DOI: 10.11834/jrs.20255185.
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