The Classification Performance and Mechanism of Machine Learning Algorithms in Winter Wheat Mapping Using Sentinel-2 10 m Resolution Imagery

Machine learning algorithms are crucial for crop identification and mapping. However, many works only focus on the identification results of these algorithms, but pay less attention to their classification performance and mechanism. In this paper, based on Google Earth Engine (GEE), Sentinel-2 10 m...

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Bibliographic Details
Published in:	Applied sciences Vol. 10; no. 15; p. 5075
Main Authors:	Fang, Peng, Zhang, Xiwang, Wei, Panpan, Wang, Yuanzheng, Zhang, Huiyi, Liu, Feng, Zhao, Jun
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.08.2020
Subjects:	Accuracy Agricultural production Algorithms Classification classification performance Crops Data processing Efficiency Identification Land use large-scale Machine learning machine learning algorithms Neural networks Remote sensing Researchers Sentinel-2 Support vector machines Wheat Winter winter wheat mapping China
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
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