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Penghua Liu
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2020 – today
- 2022
- [c4]Junjie Xue, Junhua Zhou, Guoqiang Shi, Chaoqun Feng, Lin Xu, Penghua Liu, Hongyan Quan:
Research and Implementation of Model Engineering Environment Integration Based on OpenMBEE. AsiaSim (1) 2022: 143-157 - 2021
- [j10]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) - [c3]Houde Dai, Pengfei Guo, Hongyu Chen, Silin Zhao, Penghua Liu, Guijuan Lin:
An Improved Magnetic Spot Navigation for Replacing the Barcode Navigation in Automated Guided Vehicles. ICRA 2021: 786-791 - [c2]Hanchen Yao, Houde Dai, Enhao Zhao, Penghua Liu, Ran Zhao:
Laser-Based Side-by-Side Following for Human-Following Robots. IROS 2021: 2651-2656 - 2020
- [j9]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 Geosci. Remote. Sens. Lett. 17(8): 1430-1434 (2020) - [c1]Mengxi Liu, Qian Shi, Penghua Liu, Cheng Wan:
Siamese Generative Adversarial Network for Change Detection Under Different Scales. IGARSS 2020: 2543-2546
2010 – 2019
- 2019
- [j8]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. Int. J. Appl. Earth Obs. Geoinformation 81: 1-12 (2019) - [j7]Yao Yao, Zhaotang Liang, Zehao Yuan, Penghua Liu, Yongpan Bie, Jinbao Zhang, Ruoyu Wang, Jiale Wang, Qingfeng Guan:
A human-machine adversarial scoring framework for urban perception assessment using street-view images. Int. J. Geogr. Inf. Sci. 33(12): 2363-2384 (2019) - [j6]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. Sens. 11(7): 830 (2019) - [j5]Xingdong Deng, Penghua Liu, Xiaoping Liu, Ruoyu Wang, Yuanying Zhang, Jialv He, Yao Yao:
Geospatial Big Data: New Paradigm of Remote Sensing Applications. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(10): 3841-3851 (2019) - [j4]Yao Yao, Penghua Liu, Ye Hong, Zhaotang Liang, Ruoyu Wang, Qingfeng Guan, Jingmin Chen:
Fine-scale intra- and inter-city commercial store site recommendations using knowledge transfer. Trans. GIS 23(5): 1029-1047 (2019) - [j3]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. Comput. Environ. Urban Syst. 78 (2019) - 2017
- [j2]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. Int. J. Geogr. Inf. Sci. 31(4): 825-848 (2017) - [j1]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. Int. J. Geogr. Inf. Sci. 31(12): 2452-2479 (2017)
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