Hyperspectral Image Labeling and Classification Using an Ensemble Semi-Supervised Machine Learning Approach

Hyperspectral remote sensing has tremendous potential for monitoring land cover and water bodies from the rich spatial and spectral information contained in the images. It is a time and resource consuming task to obtain groundtruth data for these images by field sampling. A semi-supervised method fo...

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Detalles Bibliográficos
Autores principales: Manian, Vidya, Alfaro-Mejía, Estefanía, Tokars, Roger P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877511/
https://www.ncbi.nlm.nih.gov/pubmed/35214523
http://dx.doi.org/10.3390/s22041623

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877511/
https://www.ncbi.nlm.nih.gov/pubmed/35214523
http://dx.doi.org/10.3390/s22041623

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