Machine Learning Applications for Earth Observation-Reference-Cited by-同舟云学术

Machine Learning Applications for Earth Observation

Published:2018 Issue: Volume: Page:165-218
ISSN:
Container-title:Earth Observation Open Science and Innovation
language:
Short-container-title:

Author:

Lary David J.,Zewdie Gebreab K.,Liu Xun,Wu Daji,Levetin Estelle,Allee Rebecca J.,Malakar Nabin,Walker Annette,Mussa Hamse,Mannino Antonio,Aurin Dirk

Funder

International Space Science Institute

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-65633-5_8

Reference91 articles.

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4. Angeletti C, Harvey NR, Khomitch V, Fischer AH, Levenson RM, Rimm DL: Detection of malignancy in cytology specimens using spectral-spatial analysis. Lab Investig 85(12):1555–1564. https://doi.org/10.1038/labinvest.3700357 . ://WOS:000233372200011

5. Arizmendi C, Sanchez J, Ramos N, Ramos G (1993) Time series predictions with neural nets: application to airborne pollen forecasting. Int J Biometeorol 37(3):139–144

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