Fine-Grained Classification of Hyperspectral Imagery Based on Deep Learning

Fine-Grained Classification of Hyperspectral Imagery Based on Deep Learning

Hyperspectral remote sensing obtains abundant spectral and spatial information of the observed object simultaneously. It is an opportunity to classify hyperspectral imagery (HSI) with a fine-grained manner. In this study, the fine-grained classification of HSI, which contains a large number of class...

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Bibliographic Details
Main Authors: Yushi Chen, Lingbo Huang, Lin Zhu, Naoto Yokoya, Xiuping Jia
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Remote Sensing
Subjects:
convolutional neural network (cnn)
deep learning
generative adversarial network (gan)
hyperspectral imagery classification
semi-supervised classification
Online Access:https://www.mdpi.com/2072-4292/11/22/2690

Internet

https://www.mdpi.com/2072-4292/11/22/2690

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