Automatic arable land detection with supervised machine learning-Reference-Cited by-同舟云学术

Automatic arable land detection with supervised machine learning

Published:2016-09-09 Issue:4 Volume:9 Page:535-545
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Arango R. B.,Díaz I.^ORCID,Campos A.,Canas E. R.,Combarro E. F.

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

http://link.springer.com/content/pdf/10.1007/s12145-016-0270-6.pdf

Reference77 articles.

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4. Amazon (2015b) Worldwide Reference System. http://landsat.gsfc.nasa.gov/?p=3231 , accessed: 2015-07-21

5. Arango R, Díaz I, Campos A, Combarro E, Canas E (2015) On the influence of temporal resolution on automatic delimitation using clustering algorithms. Appl Math Inf Sci 9(2L):339–347

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