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ORCIDHan Liu 0005
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
- Han Liu — disambiguation page
- Han Liu 0001
![[0000-0002-2470-1755]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2470-1755")
— 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
[j3]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]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
- [j1]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) - [c1]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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