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Application of Random Forest Classification to Detect the Pine Wilt Disease from High Resolution Spectral Images

AuthID
P-00T-MHT

Author(s)

Iordache, MD

Mantas, V

Baltazar, E

Lewyckyj, N

Souverijns, N

Document Type

Proceedings Paper

Year published

2020

Published

in IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM

Pages: 4489-4492 (4)

Conference

Ieee International Geoscience and Remote Sensing Symposium (Igarss), Date: SEP 26-OCT 02, 2020, Location: ELECTR NETWORK, Sponsors: Inst Elect & Elect Engineers, Inst Elect & Elect Engineers Geoscience & Remote Sensing Soc

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Publication Identifiers

DOI: 10.1109/igarss39084.2020.9324293

Scopus: 2-s2.0-85101964467

Wos: WOS:000664335304084

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Application of Random Forest Classification to Detect the Pine Wilt Disease from High Resolution Spectral Images

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Application of Random Forest Classification to Detect the Pine Wilt Disease from High Resolution Spectral Images

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