• Journal of Geo-information Science
  • Vol. 22, Issue 9, 1897 (2020)
Ang CHEN1, Xiuchun YANG1、2、*, Bin XU1、2, Yunxiang JIN1, Wenbo ZHANG1, Jian GUO1, Xiaoyu XING1, and Dong YANG1
Author Affiliations
  • 1Key Laboratory of Agri-informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • 2College of Grassland Science, Beijing Forestry University, Beijing 100083, China
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    DOI: 10.12082/dqxxkx.2019.190598 Cite this Article
    Ang CHEN, Xiuchun YANG, Bin XU, Yunxiang JIN, Wenbo ZHANG, Jian GUO, Xiaoyu XING, Dong YANG. Research on Recognition Methods of Elm Sparse Forest based on Object-based Image Analysis and Deep Learning[J]. Journal of Geo-information Science, 2020, 22(9): 1897 Copy Citation Text show less
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    Ang CHEN, Xiuchun YANG, Bin XU, Yunxiang JIN, Wenbo ZHANG, Jian GUO, Xiaoyu XING, Dong YANG. Research on Recognition Methods of Elm Sparse Forest based on Object-based Image Analysis and Deep Learning[J]. Journal of Geo-information Science, 2020, 22(9): 1897
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