International Journal of Applied Earth Observations and Geoinformation (Nov 2022)
Corrigendum to “Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction” [Int. J. Appl. Earth Observ. Geoinf. 104 (2021) 102544]
- Panle Li,
- Xiaohui He,
- Mengjia Qiao,
- Disheng Miao,
- Xijie Cheng,
- Dingjun Song,
- Mingyang Chen,
- Jiamian Li,
- Tao Zhou,
- Xiaoyu Guo,
- Xinyu Yan,
- Zhihui Tian
Affiliations
- Panle Li
- School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
- Xiaohui He
- School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, China; Ecometeorology Joint Laboratory of Zhengzhou University and Chinese Academy of Meteorological Science, Zhengzhou 450001, China; Corresponding author at: School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, China.
- Mengjia Qiao
- School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
- Disheng Miao
- School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
- Xijie Cheng
- School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
- Dingjun Song
- School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
- Mingyang Chen
- School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
- Jiamian Li
- School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
- Tao Zhou
- School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
- Xiaoyu Guo
- School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, China; Ecometeorology Joint Laboratory of Zhengzhou University and Chinese Academy of Meteorological Science, Zhengzhou 450001, China
- Xinyu Yan
- School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, China
- Zhihui Tian
- School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, China; Ecometeorology Joint Laboratory of Zhengzhou University and Chinese Academy of Meteorological Science, Zhengzhou 450001, China
- Journal volume & issue
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Vol. 114
p. 102954
