Hyperspectral Image Classification Based on Spectral Multiscale Convolutional Neural Network

Hyperspectral Image Classification Based on Spectral Multiscale Convolutional Neural Network

In recent years, convolutional neural networks (CNNs) have been widely used for hyperspectral image classification, which show good performance. Compared with using sufficient training samples for classification, the classification accuracy of hyperspectral images is easily affected by a small numbe...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Cuiping Shi, Jingwei Sun, Liguo Wang
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2022-04-01
Sarja:Remote Sensing
Aiheet:
hyperspectral images
classification
convolutional neural networks (CNNs)
four branch multiscale (FBMB)
3D-softpool
Linkit:https://www.mdpi.com/2072-4292/14/8/1951

Internet

https://www.mdpi.com/2072-4292/14/8/1951

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