刘鹏华

基本信息

邮箱: liuph3@mail2.sysu.edu.cn

学术主页：Researchgate   Google Scholar

Github: https://github.com/liuph0119

地址：广东省广州市海珠区新港西路135号中山大学地理科学与规划学院

教育经历

时间段 学校/学院 学位 专业
2017/09-2020/06 中山大学地理科学与规划学院 理学硕士研究生 地图学与地理信息系统
2013/09-2017/06 中山大学地理科学与规划学院 理学学士 地理信息科学，推荐免试保送研究生

科研论文

* 标记的为通讯作者。

  1. Penghua Liu, Xiaoping Liu, Mengxi Liu, Qian Shi*, Jinxing Yang, Xiaocong Xu & Yuanying Zhang. “Building footprint extraction from high-resolution images via spatial residual inception convolutional neural network.” Remote Sensing, 2019, 11: 830, DOI: 10.3390/rs11070830. (SCI, IF=4.118) pdf
  2. Xingdong Deng, Penghua Liu* , Xiaoping Liu, Ruoyu Wang, Yuanying Zhang, Jialv He, Yao Yao. “Geospatial Big Data: New Paradigm of Remote Sensing Applications.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, DOI: 10.1109/JSTARS.2019.2944952. (SCI, IF=3.392)
  3. Qian Shi, Mengxi Liu, Xiaoping Liu, Penghua Liu*, Pengyuan Zhang, Jinxing Yang, Xia Li. “Domain Adaption for Fine-grained Urban Village Extraction from Satellite Images.” IEEE Geoscience and Remote Sensing Letters, 2019, DOI: 10.1109/LGRS.2019.2947473. (SCI, IF=3.534)
  4. Yao Yao*, Liu Penghua, Hong Ye, Liang Zhaotang, Wang Ruoyu, Guan Qingfeng* & Chen Jingmin. “Fine-scale Intra- and intercity commercial store site recommendations using knowledge transfer.” Transactions in GIS, 2019, DOI: 10.1111/tgis.12553. (SSCI, IF=2.188) pdf
  5. 刘鹏华, 姚尧*, 梁昊, 梁兆堂, 张亚涛, 王昊松. “耦合卡尔曼滤波和多层次聚类的中国 PM2.5 时空分布分析.”地球信息科学学报, 2017,19(4): 475-485. (中文核心期刊, CSCI) pdf
  6. 刘鹏华, 刘小平*, 姚尧, 张金宝, 何执兼, 洪晔. “耦合约束动态地块分裂和矢量元胞自动机的城市扩张模拟.”地理与地理信息科学, 2018, 34(4): 74-82. (中文核心期刊, CSCI) pdf

合作论文

  1. Jinpei Ou, Xiaoping Liu*, Penghua Liu & Xiaojuan Liu. “Evaluation of Luojia 1-01 nighttime light imagery for impervious surface detection: A comparison with NPP-VIIRS nighttime light data.” International Journal of Applied Earth Observations and Geoinformation, 2019, 81: 1-12. DOI: 10.1016/j.jag.2019.04.017 (SCI，IF=4.846) pdf
  2. Yao Yao, Xia Li*, Xiaoping Liu*, Penghua Liu, Zhaotang Liang, Jinbao Zhang & Ke Mai. “Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model.” International Journal of Geographical Information Science, 2017, 31(4): 825-848, DOI: 10.1080/13658816.2016.1244608. (SCI/SSCI, IF=3.545) pdf
  3. Yao Yao, Xiaoping Liu*, Xia Li*, Penghua Liu, Ye Hong, Yatao Zhang & Ke Mai. “Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata.” International Journal of Geographical Information Science, 2017, 31(12): 2452-2479, DOI: 10.1080/13658816.2017.1360494. (SCI/SSCI, IF=3.545) pdf
  4. Yao Yao, Zhaotang Liang, Zehao Yuan, Penghua Liu, Yongpan Bie, Jinbao Zhang, Ruoyu Wang, JialeWang, Qingfeng Guan*. “A human-machine adversarial scoring framework for urban perception assessment using street-view images.” International Journal of Geographical Information Science, 2019, 1-22, DOI: 10.1080/13658816.2019.1643024. (SCI/SSCI, IF=3.545) pdf
  5. Ruoyu Wang, Desheng Xue, Ye Liu*, Penghua Liu & Hongsheng Chen. “The Relationship between Air Pollution and Depression in China: Is Neighbourhood Social Capital Protective?” International Journal of Environmental Research and Public Health, 2018, 15(6): 1160, DOI: 10.3390/ijerph15061160. (SCI/SSCI, IF=2.468) pdf
  6. Ruoyu Wang, Yi Lu, Jinbao Zhang, Penghua Liu, YaoYao, Ye Liu. “The relationship between visual enclosure for neighbourhood street walkability and elders’ mental health in China: Using street view images.” Journal of Transport & Health, 2019, 13: 90-102, DOI: 10.1016/j.jth.2019.02.009. (SSCI, IF=2.583)pdf
  7. Marco Helbich1, Yao Yao1, Ye Liu, Jinbao Zhang, Penghua Liu & Ruoyu Wang*. “Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing, China.” Environment International, 2019, 126: 107-117, DOI: 10.1016/j.envint.2019.02.013. (SCI/SSCI, IF=7.721) pdf
  8. Ruoyu Wang, Ye Liu, Yi Lu*, Yuan Yuan, Jinbao Zhang, Penghua Liu, Yao Yao*. “The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques.” International Journal of Health Geographics, 2019, 18(1): 18. (SCI/SSCI, IF=3.282)pdf
  9. Ruoyu Wang, Ye Liu, Yi Lu, Jinbao Zhang, Penghua Liu, Yao Yao, George Grekousis. “Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique.” Computers, Environment and Urban System, 2019, 78: 101386, DOI: 10.1016/j.compenvurbsys.2019.101386. (SCI, IF=3.393) pdf
  10. Ruoyu Wang, Yuan Yuan, Ye Liu, Jinbao Zhang, Penghua Liu, Yao Yao. “Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents’ mental health.” Health & Place, 2019, 59: 102186, DOI: 10.1016/j.healthplace.2019.102186. (SSCI, IF=3.202) pdf
  11. Ruoyu Wang, Marco Helbich, Yao Yao, Jinbao Zhang, Penghua Liu, Yuan Yuan, Ye Liu. “Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures.” Environmental Research, 2019, 176:108535, DOI: 10.1016/j.envres.2019.108535. (SCI, IF=5.026) pdf
  12. Ruoyu Wang, Ye Liu*, Desheng Xue*, Yao Yao, Penghua Liu, Marco Helbich. “Cross-sectional associations between long-term exposure to particulate matter and depression in China: The mediating effects of sunlight, physical activity, and neighborly reciprocity.” Journal of Affective Disorders, 2019, 249: 8-14. (SCI/SSCI, IF=4.084) pdf

研究方向

  • 机器学习和时空大数据挖掘
  • 深度学习和街景/遥感图像理解
  • 城市用地动态变化精细模拟