Multiscale Information Fusion for Hyperspectral Image Classification Based on Hybrid 2D-3D CNN

Multiscale Information Fusion for Hyperspectral Image Classification Based on Hybrid 2D-3D CNN

Hyperspectral images are widely used for classification due to its rich spectral information along with spatial information. To process the high dimensionality and high nonlinearity of hyperspectral images, deep learning methods based on convolutional neural network (CNN) are widely used in hyperspe...

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Bibliographic Details
Main Authors: Hang Gong, Qiuxia Li, Chunlai Li, Haishan Dai, Zhiping He, Wenjing Wang, Haoyang Li, Feng Han, Abudusalamu Tuniyazi, Tingkui Mu
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
convolutional neural network (CNN)
hyperspectral image classification
multiscale information
Online Access:https://www.mdpi.com/2072-4292/13/12/2268

Internet

https://www.mdpi.com/2072-4292/13/12/2268

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