Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network

Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network

Recent research has shown that using spectral–spatial information can considerably improve the performance of hyperspectral image (HSI) classification. HSI data is typically presented in the format of 3D cubes. Thus, 3D spatial filtering naturally offers a simple and effective method for simultaneou...

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Bibliographic Details
Main Authors: Ying Li, Haokui Zhang, Qiang Shen
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
deep learning
2D convolutional neural networks
3D convolutional neural networks
3D structure
Online Access:http://www.mdpi.com/2072-4292/9/1/67

Internet

http://www.mdpi.com/2072-4292/9/1/67

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