A CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image Classification

A CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image Classification

In the study of hyperspectral image classification based on machine learning theory and techniques, the problems related to the high dimensionality of the images and the scarcity of training samples are widely discussed as two main issues that limit the performance of the data-driven classifiers. Th...

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Detaylı Bibliyografya
Asıl Yazarlar: Wei Yao, Cheng Lian, Lorenzo Bruzzone
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2022-10-01
Seri Bilgileri:Remote Sensing
Konular:
hyperspectral image classification
convolutional neural network
ensemble learning
channel attention
remote sensing
Online Erişim:https://www.mdpi.com/2072-4292/14/19/4982

Internet

https://www.mdpi.com/2072-4292/14/19/4982

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