Pixel-Wise Classification of Hyperspectral Images With 1D Convolutional SVM Networks

Pixel-Wise Classification of Hyperspectral Images With 1D Convolutional SVM Networks

Nowadays, remote sensing image analysis is needed in various important tasks such as city planning, land-use classification, agriculture monitoring, military surveillance, and many other applications. In this context, hyperspectral images can play a useful role, but require specific handling. This p...

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Bibliographic Details
Main Authors: Mayar A. Shafaey, Farid Melgani, Mohammed A.-M. Salem, Maryam N. Al-Berry, Hala M. Ebied, El-Sayed A. El-Dahshan, Mohamed F. Tolba
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
feedforward learning
hyperspectral signature
machine learning
pixel-based classification
support vector machine
Online Access:https://ieeexplore.ieee.org/document/9996412/

Internet

https://ieeexplore.ieee.org/document/9996412/

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