Three-Dimensional Spatial-Spectral Filtering Based Feature Extraction for Hyperspectral Image Classification

Three-Dimensional Spatial-Spectral Filtering Based Feature Extraction for Hyperspectral Image Classification

Hyperspectral pixels which have high spectral resolution are used to predict decomposition of material types on area of obtained image. Due to its multidimensional form, hyperspectral image classification is a challenging task. Hyperspectral images are also affected by radiometric noise. In order...

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Bibliographic Details
Main Authors: AKYUREK, H. A., KOCER, B.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2017-05-01
Series:Advances in Electrical and Computer Engineering
Subjects:
adaptive algorithms
feature extraction
gaussian noise
hyperspectral imaging
image classification
Online Access:http://dx.doi.org/10.4316/AECE.2017.02013

Internet

http://dx.doi.org/10.4316/AECE.2017.02013

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