Crop classification methods and influencing factors of reusing historical samples based on 2D-CNN-Reference-Cited by-同舟云学术

Crop classification methods and influencing factors of reusing historical samples based on 2D-CNN

Author:

Kou Wenqi¹²³^ORCID,Shen Zhanfeng¹²,Liu Diyou¹,Liu Zhe³,Li Junli⁴^ORCID,Chang Wanqiu³,Wang Haoyu¹²⁴,Huang Lan¹²,Jiao Shuhui¹²,Lei Yating¹²,Zhang Chi¹²

Affiliation:

1. National Engineering Research Center for Geomatics, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China

3. College of Land Science and Technology, China Agricultural University, Beijing, China

4. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China

Funder

Third comprehensive scientific expedition to Xinjiang

National Key research and Development Program of China

National Natural Science Foundation of China

Key Research and Development Programme of Xinjiang Uygur Autonomous Region

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

Reference63 articles.

4. Bergstra, J., and Y. Bengio. 2012. “Random Search for Hyper-Parameter Optimization.” Journal of Machine Learning Research 13 (2): 281–305.

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