Lithological information extraction and classification in hyperspectral remote sensing data using Backpropagation Neural Network

The purposes are to solve the isomorphism encountered while processing hyperspectral remote sensing data and improve the accuracy of hyperspectral remote sensing data in extracting and classifying lithological information. Taking rocks as the research object, Backpropagation Neural Network (BPNN) is...

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Detalles Bibliográficos
Autores principales: Wang, Zhengyang, Tian, Shufang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516202/
https://www.ncbi.nlm.nih.gov/pubmed/34648508
http://dx.doi.org/10.1371/journal.pone.0254542

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516202/
https://www.ncbi.nlm.nih.gov/pubmed/34648508
http://dx.doi.org/10.1371/journal.pone.0254542

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