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    • Application of environmental semantic data augmentation methods in ancient tomb detection

    • In the field of deep learning, experts have proposed a remote sensing image data augmentation algorithm based on diffusion models, which solves the problems of sample scarcity and imbalance, significantly improves the accuracy of model detection and cross dataset adaptability, and provides technical support for small sample remote sensing archaeological target recognition.
    • Vol. 30, Issue 2, Pages: 403-415(2026)   

      Received:27 September 2024

      Published:07 February 2026

    • DOI: 10.11834/jrs.20254414     

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  • Chen S H,Yu L J,Zhu J F,Chen J,Liu Z,Wang H and Nie Y P. 2026. Application of environmental semantic data augmentation methods in ancient tomb detection. National Remote Sensing Bulletin, 30(2):403-415 DOI: 10.11834/jrs.20254414.
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相关作者

ZHENG Hunan 沈阳工业大学 人工智能学院;沈阳美行科技股份有限公司
LI Chenyi 沈阳工业大学 人工智能学院
HUANG Hu 沈阳工业大学 人工智能学院
TANG Fei 沈阳工业大学 人工智能学院
WANG Liming 中国地质大学(武汉) 地理与信息工程学院
QI Kunlun 中国地质大学(武汉) 地理与信息工程学院;国家地理信息系统工程技术研究中心
YANG Chao 中国地质大学(武汉) 地理与信息工程学院;国家地理信息系统工程技术研究中心
WU Huayi 武汉大学 测绘遥感信息工程国家重点实验室

相关机构

School of Artificial Intelligence, Shenyang University of Technology
Shenyang Mxnavi Co., Ltd.
School of Geography and Information Engineering, China University of Geosciences
National Engineering Research Center of Geographic Information System
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University
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