Hyperspectral Remote Sensing Images Feature Extraction Based on Spectral Fractional Differentiation

Hyperspectral Remote Sensing Images Feature Extraction Based on Spectral Fractional Differentiation

To extract effective features for the terrain classification of hyperspectral remote-sensing images (HRSIs), a spectral fractional-differentiation (SFD) feature of HRSIs is presented, and a criterion for selecting the fractional-differentiation order is also proposed based on maximizing data separab...

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Bibliographic Details
Main Authors: Jing Liu, Yang Li, Feng Zhao, Yi Liu
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
fractional differentiation
convolutional neural networks (CNNs)
feature extraction
hyperspectral remote-sensing images (HRSIs)
Online Access:https://www.mdpi.com/2072-4292/15/11/2879

Internet

https://www.mdpi.com/2072-4292/15/11/2879

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