dblp: Han Liu 0005 (original) (raw)

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• > Home > Persons

Person information

• affiliation: Sun Yat-Sen University, School of Geography and Planning, Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, Guangzhou, China

Other persons with the same name

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• Han Liu — disambiguation page

• Han Liu 0001 — Northwestern University, Evanston, IL, USA (and 4 more)

• Han Liu 0002 — Shenzhen University, Guangdong, China (and 2 more)

• Han Liu 0003 — King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

• Han Liu 0004 — Harbin Institute of Technology, School of Transportation Science and Engineering, China

• Han Liu 0006 — Southeast University, School of Electrical Engineering, Nanjing, China (and 1 more)

• Han Liu 0007 — Xi'an University of Technology, Faculty of Automation and Information Engineering, Xi'an, China (and 1 more)

• Han Liu 0008 — Dalian University of Technology, School of Software, Dalian, China (and 1 more)

• Han Liu 0009 — Shanghai Maritime University, College of Information Engineering, Shanghai, China

• Han Liu 0010 — Oxford-Hainan Blockchain Research Institute, Haikou, China (and 2 more)

• Han Liu 0011 — Advanced Micro Devices (AMD) Inc., Beijing, China

• Han Liu 0012 — Hong Kong University of Science and Technology, Hong Kong (and 1 more)

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2020 – today

• 2022
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  [j3]
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    Yu Wang, Han Liu, Lingling Sang, Jun Wang:
    Characterizing Forest Cover and Landscape Pattern Using Multi-Source Remote Sensing Data with Ensemble Learning. Remote. Sens. 14(21): 5470 (2022)

2010 – 2019

• 2019
• 
  [j2]
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    Han Liu, Jun Li, Lin He, Yu Wang:
    Superpixel-Guided Layer-Wise Embedding CNN for Remote Sensing Image Classification. Remote. Sens. 11(2): 174 (2019)
• 2017
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  [j1]
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    Zhi He, Han Liu, Yiwen Wang, Jie Hu:
    Generative Adversarial Networks-Based Semi-Supervised Learning for Hyperspectral Image Classification. Remote. Sens. 9(10): 1042 (2017)
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  [c1]
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    Han Liu, Lin He, Jun Li:
    Remote sensing image classification based on convolutional neural networks with two-fold sparse regularization. IGARSS 2017: 992-995

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