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    • Use of object-based Siamese neural network to build change detection from very high resolution remote-sensing images

    • In the field of urban environmental monitoring, experts have proposed a high-resolution remote sensing image change detection method based on object-oriented twin neural networks, which effectively improves the accuracy of building change detection and reduces the cost of model training sample production.
    • Vol. 28, Issue 2, Pages: 437-454(2024)   

      Received:19 October 2021

      Published:07 February 2024

    • DOI: 10.11834/jrs.20221627     

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  • Liu X G,Li M M,Wang X Q and Zhang Z C. 2024. Use of object-based Siamese neural network to build change detection from very high resolution remote-sensing images. National Remote Sensing Bulletin, 28(2):437-454 DOI: 10.11834/jrs.20221627.
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Xuangaung Liu 福州大学 数字中国研究院;福州大学 空间数据挖掘与信息共享教育部重点实验室
Mengmeng Li 福州大学 数字中国研究院;福州大学 空间数据挖掘与信息共享教育部重点实验室
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