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PCA-based supervised identification of biological soil crusts in multispectral images

It was the aim of the method development to classify types of various biological soil crusts (biocrusts) using principle component analysis (PCA) on multispectral images. To address this aim, visible (RGB) and NIR images of bare sandy soil, algal and moss biocrusts were registered, per channel refle...

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Detalles Bibliográficos
Autor principal: Fischer, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468151/
https://www.ncbi.nlm.nih.gov/pubmed/31016139
http://dx.doi.org/10.1016/j.mex.2019.03.013

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