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2020 – today
- 2024
[j5]Anning Dong, Yatao Zhang, Zijin Guo, Peng Luo, Yao Yao
, Jialyu He, Qia Zhu, Ying Jiang, Kailu Xiong, Qingfeng Guan:
Predicting the locations of missing persons in China by using NGO data and deep learning techniques. Int. J. Digit. Earth 17(1) (2024)- 2022
- [j4]Haoming Zhuang, Xiaoping Liu, Yuchao Yan, Dachuan Zhang, Jialyu He, Jinqiang He, Xinchang Zhang, Honghui Zhang, Manchun Li:
Integrating a deep forest algorithm with vector-based cellular automata for urban land change simulation. Trans. GIS 26(4): 2056-2080 (2022) - 2021
- [j3]Jinbao Zhang, Xia Li, Yao Yao, Ye Hong, Jialyu He, Zhangwei Jiang, Jianchao Sun:
The Traj2Vec model to quantify residents' spatial trajectories and estimate the proportions of urban land-use types. Int. J. Geogr. Inf. Sci. 35(1): 193-211 (2021) - [j2]Haoming Zhuang, Xiaoping Liu, Yuchao Yan, Jinpei Ou, Jialyu He, Changjiang Wu:
Mapping Multi-Temporal Population Distribution in China from 1985 to 2010 Using Landsat Images via Deep Learning. Remote. Sens. 13(17): 3533 (2021) - [j1]Jialyu He, Xia Li, Penghua Liu, Xinxin Wu, Jinbao Zhang, Dachuan Zhang, Xiaojuan Liu, Yao Yao:
Accurate Estimation of the Proportion of Mixed Land Use at the Street-Block Level by Integrating High Spatial Resolution Images and Geospatial Big Data. IEEE Trans. Geosci. Remote. Sens. 59(8): 6357-6370 (2021)
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