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ORCIDKai Li 0021
Person information
- affiliation: Chinese Academy of Sciences, State Key Laboratory of Resources and Environmental Information System, Beijing, China
- affiliation: Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- affiliation: University of Chinese Academy of Sciences, College of Resources and Environment, Beijing, China
- affiliation: China University of Mining and Technology, Beijing, China
Other persons with the same name
- Kai Li — disambiguation page
- Kai Li 0001
![[0000-0002-2095-7024]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2095-7024")
— Princeton University, NJ, USA - Kai Li 0002 — University of Cambridge, Department of Engineering, UK (and 3 more)
- Kai Li 0003 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Kai Li 0004 — North University of China, Department of the Shanxi Key Laboratory of Signal Capturing and Processing, Taiyuan, China
- Kai Li 0005 — Facebook Inc, Menlo Park, CA, USA (and 1 more)
- Kai Li 0006 — Fujian Normal University, School of Mathematics and Computer Science, Fuzhou, China
- Kai Li 0007 — East Carolina University, Department of Industrial Technology, Greenville, NC, USA (and 1 more)
- Kai Li 0008 — Toyohashi University of Technology, Research Center for Agrotechnology and Biotechnology, Japan
- Kai Li 0009 — InterDigital Communications, Melville, NY, USA (and 1 more)
- Kai Li 0010 — Renmin University of China, School of Information Resource Management, Beijing, China (and 2 more)
- Kai Li 0011 — Shanghai University of Finance and Economics, School of Information Management and Engineering, China
- Kai Li 0012 — NEC Laboratories America, Machine Learning Department, Princeton, NJ, USA (and 1 more)
- Kai Li 0013 — Zhengzhou Institute of Surveying and Mapping, China
- Kai Li 0014 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China
- Kai Li 0015 — Wuhan University, School of Remote Sensing and Information Engineering, Hubei, China
- Kai Li 0016 — Shanghai University, School of Communication and Information Engineering, China (and 1 more)
- Kai Li 0017 — San Diego State University, CA, USA (and 1 more)
- Kai Li 0018 — Japan Advanced Institute of Science and Technology, School of Information Science, Japan
- Kai Li 0019 — Hefei University of Technology, School of Management, China
- Kai Li 0020 — Nankai University, Business School, Tianjin, China
- Kai Li 0022 — Chinese Academy of Sciences, Institute of Automation, Beijing, China (and 1 more)
- Kai Li 0023 — Tsinghua University, Department of Computer Science and Technology, Beijing, China (and 1 more)
- Kai Li 0024 — Southern University of Science and Technology, School of Microelectronics, Shenzhen, Guangdong, China
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Journal Articles
- 2024
[j7]Meng Liu, Juanle Wang, Denis Fetisov, Kai Li, Chen Xu, Jiawei Jiang:
Machine Learning-Based Fine Classification of Agricultural Crops in the Cross-Border Basin of the Heilongjiang River between China and Russia. Remote. Sens. 16(10): 1670 (2024)- 2023
- [j6]Chen Xu, Juanle Wang, Yu Sang, Kai Li, Jingxuan Liu, Gang Yang:
An Effective Deep Learning Model for Monitoring Mangroves: A Case Study of the Indus Delta. Remote. Sens. 15(9): 2220 (2023) - [j5]Yezhi Zhou, Juanle Wang, Elena Grigorieva, Kai Li, Huanyu Xu:
Performance Evaluation of Multi-Typed Precipitation Products for Agricultural Research in the Amur River Basin over the Sino-Russian Border Region. Remote. Sens. 15(10): 2577 (2023) - [j4]Menghan Li, Juanle Wang, Kai Li, Altansukh Ochir, Chuluun Togtokh, Chen Xu:
Spatial-Temporal Pattern Analysis of Grassland Yield in Mongolian Plateau Based on Artificial Neural Network. Remote. Sens. 15(16): 3968 (2023) - [j3]Guangmao Jiang, Juanle Wang, Kai Li, Chen Xu, Heng Li, Zongyi Jin, Jingxuan Liu:
Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain. Remote. Sens. 15(17): 4254 (2023) - 2022
- [j2]Kai Li, Juanle Wang, Wenjing Cheng, Yi Wang, Yezhi Zhou, Altansukh Ochir:
Deep learning empowers the Google Earth Engine for automated water extraction in the Lake Baikal Basin. Int. J. Appl. Earth Obs. Geoinformation 112: 102928 (2022) - 2021
- [j1]Kai Li, Juanle Wang, Jinyi Yao:
Effectiveness of machine learning methods for water segmentation with ROI as the label: A case study of the Tuul River in Mongolia. Int. J. Appl. Earth Obs. Geoinformation 103: 102497 (2021)
Coauthor Index
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