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    • MtSCCD: Land-use scene classification and change-detection dataset for deep learning

    • In the field of urban planning and land use optimization, experts have constructed a large-scale remote sensing dataset MtSCCD, which contains 65548 images of 10 land use types, covering the central areas of 5 cities in China, providing a solution for deep learning remote sensing information extraction.
    • Vol. 28, Issue 2, Pages: 321-333(2024)   

      Received:13 June 2023

      Published:07 February 2024

    • DOI: 10.11834/jrs.20243210     

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  • Zhou W X,Liu J L,Peng D F, Guan H Y and Shao Z F. 2024. MtSCCD: Land-use scene classification and change-detection dataset for deep learning. National Remote Sensing Bulletin, 28(2):321-333 DOI: 10.11834/jrs.20243210.
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相关作者

LIU Yuan 中国科学院西安光学精密机械研究所 光谱成像技术实验室;中国科学院大学
ZHENG Xiangtao 福州大学 物理与信息工程学院
LU Xiaoqiang 福州大学 物理与信息工程学院
SHAO Pan 三峡大学 湖北省水电工程智能视觉监测重点实验室;三峡大学 计算机与信息学院
GAO Zi’ang 三峡大学 湖北省水电工程智能视觉监测重点实验室;三峡大学 计算机与信息学院
LI Jiankang 南京信息工程大学 遥感与测绘工程学院
ZHANG Guixin 南京信息工程大学 地理科学学院
ZHU Shanyou 南京信息工程大学 遥感与测绘工程学院

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Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences
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