3-D Convolution-Recurrent Networks for Spectral-Spatial Classification of Hyperspectral Images
Nowadays, 3-D convolutional neural networks (3-D CNN) have attracted lots of attention in the spectral-spatial classification of hyperspectral imageries (HSI). In this model, the feed-forward processing structure reduces the computational burden of 3-D structural processing. However, this model as a...
Main Authors: | Majid Seydgar, Amin Alizadeh Naeini, Mengmeng Zhang, Wei Li, Mehran Satari |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/11/7/883 |
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