Hyperspectral Remote Sensing Images Deep Feature Extraction Based on Mixed Feature and Convolutional Neural Networks

Hyperspectral Remote Sensing Images Deep Feature Extraction Based on Mixed Feature and Convolutional Neural Networks

To achieve effective deep fusion features for improving the classification accuracy of hyperspectral remote sensing images (HRSIs), a pixel frequency spectrum feature is presented and introduced to convolutional neural networks (CNNs). Firstly, the fast Fourier transform is performed on each spectra...

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Bibliographic Details
Main Authors: Jing Liu, Zhe Yang, Yi Liu, Caihong Mu
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
hyperspectral remote sensing images (HRSIs)
convolutional neural networks (CNNs)
terrain classification
deep feature extraction
Online Access:https://www.mdpi.com/2072-4292/13/13/2599

Internet

https://www.mdpi.com/2072-4292/13/13/2599

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