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

41 Citations (Scopus)

287 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

Access to Document

10.3390/rs8060514

li_comparisonFinal published version, 12.3 MB

Cite this

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

keywords = "METIS-317436, ITC-GOLD",

author = "X. Li and Weitao Chen and X. Cheng and L. Wang",

year = "2016",

doi = "10.3390/rs8060514",

language = "English",

volume = "8",

pages = "--",

journal = "Remote sensing",

issn = "2072-4292",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

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T1 - A comparison of machine learning algorithms for mapping of complex surface-mined and agricultural landscapes using ZiYuan-3 stereo satellite imagery

AU - Li, X.

AU - Chen, Weitao

AU - Cheng, X.

AU - Wang, L.

PY - 2016

Y1 - 2016

KW - METIS-317436

KW - ITC-GOLD

U2 - 10.3390/rs8060514

DO - 10.3390/rs8060514

M3 - Article

VL - 8

SP - -

JO - Remote sensing

JF - Remote sensing

SN - 2072-4292

IS - 6

M1 - 514

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