Hyperspectral Image Classification Using Feature Relations Map Learning

Hyperspectral Image Classification Using Feature Relations Map Learning

Recently, deep learning has been reported to be an effective method for improving hyperspectral image classification and convolutional neural networks (CNNs) are, in particular, gaining more and more attention in this field. CNNs provide automatic approaches that can learn more abstract features of...

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Bibliographic Details
Main Authors: Peng Dou, Chao Zeng
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
deep learning
convolutional neural network
feature learning
feature relations map learning
Online Access:https://www.mdpi.com/2072-4292/12/18/2956

Internet

https://www.mdpi.com/2072-4292/12/18/2956

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