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Comparison of CNN Algorithms on Hyperspectral Image Classification in Agricultural Lands

Several versions of convolutional neural network (CNN) were developed to classify hyperspectral images (HSIs) of agricultural lands, including 1D-CNN with pixelwise spectral data, 1D-CNN with selected bands, 1D-CNN with spectral-spatial features and 2D-CNN with principal components. The HSI data of...

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Detalles Bibliográficos
Autores principales: Hsieh, Tien-Heng, Kiang, Jean-Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146316/
https://www.ncbi.nlm.nih.gov/pubmed/32244929
http://dx.doi.org/10.3390/s20061734