Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification

Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification

Capsule networks can be considered to be the next era of deep learning and have recently shown their advantages in supervised classification. Instead of using scalar values to represent features, the capsule networks use vectors to represent features, which enriches the feature presentation capabili...

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Bibliographic Details
Main Authors: Kaiqiang Zhu, Yushi Chen, Pedram Ghamisi, Xiuping Jia, Jón Atli Benediktsson
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Remote Sensing
Subjects:
convolutional neural network (CNN)
deep learning
capsule network
hyperspectral image classification
Online Access:https://www.mdpi.com/2072-4292/11/3/223

Internet

https://www.mdpi.com/2072-4292/11/3/223

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