A Comparative Study for Hyperspectral Data Classification with Deep Learning and Dimensionality Reduction Techniques

A Comparative Study for Hyperspectral Data Classification with Deep Learning and Dimensionality Reduction Techniques

In recent years, hyperspectral imaging has been a popular subject in the remote sensing community by providing a rich amount of information for each pixel about fields. In general, dimensionality reduction techniques are utilized before classification in statistical pattern-classification to handle...

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Bibliographic Details
Main Authors: Gıyasettin Özcan, Gizem Ortaç
Format: Article
Language:English
Published: Bursa Uludag University 2018-10-01
Series:Uludağ University Journal of The Faculty of Engineering
Subjects:
hyperspectral imaging
deep learning
dimensionality reduction
classification
convolutional neural networks
hiperspektral görüntüleme
derin öğrenme
boyut azaltma
sınıflandırma
konvolüsyonel sinir ağları
Online Access:https://dergipark.org.tr/tr/pub/uumfd/issue/39804/435723

Internet

https://dergipark.org.tr/tr/pub/uumfd/issue/39804/435723

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