Consolidated Convolutional Neural Network for Hyperspectral Image Classification

Consolidated Convolutional Neural Network for Hyperspectral Image Classification

The performance of hyperspectral image (HSI) classification is highly dependent on spatial and spectral information, and is heavily affected by factors such as data redundancy and insufficient spatial resolution. To overcome these challenges, many convolutional neural networks (CNN) especially 2D-CN...

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Bibliographic Details
Main Authors: Yang-Lang Chang, Tan-Hsu Tan, Wei-Hong Lee, Lena Chang, Ying-Nong Chen, Kuo-Chin Fan, Mohammad Alkhaleefah
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
consolidated convolutional neural network
hyperspectral image classification
high performance computing
image augmentation
principal component analysis
Online Access:https://www.mdpi.com/2072-4292/14/7/1571

Internet

https://www.mdpi.com/2072-4292/14/7/1571

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