A comparison of machine learning algorithms for mapping of complex surface-mined and agricultural landscapes using ZiYuan-3 stereo satellite imagery

X. Li; Weitao Chen; X. Cheng; L. Wang

doi:10.3390/rs8060514

A comparison of machine learning algorithms for mapping of complex surface-mined and agricultural landscapes using ZiYuan-3 stereo satellite imagery

X. Li, Weitao Chen, X. Cheng, L. Wang

Department of Water Resources

Research output: Contribution to journal › Article › Academic › peer-review

36 Citations (Scopus)

226 Downloads (Pure)

Original language	English
Article number	514
Pages (from-to)	-
Number of pages	27
Journal	Remote sensing
Volume	8
Issue number	6
DOIs	https://doi.org/10.3390/rs8060514
Publication status	Published - 2016

Keywords

METIS-317436
ITC-GOLD

Cite this

Li, X., Chen, W., Cheng, X., & Wang, L. (2016). A comparison of machine learning algorithms for mapping of complex surface-mined and agricultural landscapes using ZiYuan-3 stereo satellite imagery. Remote sensing, 8(6), -. [514]. https://doi.org/10.3390/rs8060514

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AU - Wang, L.

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Access to Document

10.3390/rs8060514

li_comparisonFinal published version, 12.3 MB