Multiscale Deep Spatial Feature Extraction Using Virtual RGB Image for Hyperspectral Imagery Classification

Multiscale Deep Spatial Feature Extraction Using Virtual RGB Image for Hyperspectral Imagery Classification

In recent years, deep learning technology has been widely used in the field of hyperspectral image classification and achieved good performance. However, deep learning networks need a large amount of training samples, which conflicts with the limited labeled samples of hyperspectral images. Traditio...

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Bibliographic Details
Main Authors:	Liqin Liu, Zhenwei Shi, Bin Pan, Ning Zhang, Huanlin Luo, Xianchao Lan
Format:	Article
Language:	English
Published:	MDPI AG 2020-01-01
Series:	Remote Sensing
Subjects:	hyperspectral image classification feature extraction fully convolutional networks (fcn) virtual rgb image multiscale spatial feature
Online Access:	https://www.mdpi.com/2072-4292/12/2/280

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