Evaluation of Three Different Machine Learning Methods for Object-Based Artificial Terrace Mapping-A Case Study of the Loess Plateau, China

CAS OpenIR

	Evaluation of Three Different Machine Learning Methods for Object-Based Artificial Terrace Mapping-A Case Study of the Loess Plateau, China
	Ding, Hu; Na, Jiaming; Jiang, Shangjing; Zhu, Jie; Liu, Kai; Fu, Yingchun; Li, Fayuan
	2021
发表期刊	REMOTE SENSING
卷号	13 期号:5
文献类型	期刊论文
条目标识符	http://159.226.73.51/handle/332005/20607
专题	中国科学院南京地理与湖泊研究所
推荐引用方式 GB/T 7714	Ding, Hu,Na, Jiaming,Jiang, Shangjing,et al. Evaluation of Three Different Machine Learning Methods for Object-Based Artificial Terrace Mapping-A Case Study of the Loess Plateau, China[J]. REMOTE SENSING,2021,13(5).
APA	Ding, Hu.,Na, Jiaming.,Jiang, Shangjing.,Zhu, Jie.,Liu, Kai.,...&Li, Fayuan.(2021).Evaluation of Three Different Machine Learning Methods for Object-Based Artificial Terrace Mapping-A Case Study of the Loess Plateau, China.REMOTE SENSING,13(5).
MLA	Ding, Hu,et al."Evaluation of Three Different Machine Learning Methods for Object-Based Artificial Terrace Mapping-A Case Study of the Loess Plateau, China".REMOTE SENSING 13.5(2021).