Hyperspectral tree crown classification using the multiple instance adaptive cosine estimator

Tree species classification using hyperspectral imagery is a challenging task due to the high spectral similarity between species and large intra-species variability. This paper proposes a solution using the Multiple Instance Adaptive Cosine Estimator (MI-ACE) algorithm. MI-ACE estimates a discrimin...

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Detalles Bibliográficos
Autores principales: Zou, Sheng, Gader, Paul, Zare, Alina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397761/
https://www.ncbi.nlm.nih.gov/pubmed/30842896
http://dx.doi.org/10.7717/peerj.6405

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397761/
https://www.ncbi.nlm.nih.gov/pubmed/30842896
http://dx.doi.org/10.7717/peerj.6405

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