scholarly journals Supervised band selection in hyperspectral images using single-layer neural networks

2018 ◽  
Vol 40 (10) ◽  
pp. 3900-3926 ◽  
Author(s):  
Mateus Habermann ◽  
Vincent Fremont ◽  
Elcio Hideiti Shiguemori
Keyword(s):  
Neural Networks ◽  
Single Layer ◽  
Hyperspectral Images ◽  
Band Selection

scholarly journals Unsupervised Hyperspectral Band Selection using Clustering and Single-Layer Neural Network

2018 ◽  
pp. 33-42
Author(s):  
Mateus Habermann ◽  
Vincent Frémont ◽  
Elcio Hideiti Shiguemori
Keyword(s):  
Neural Network ◽  
Single Layer ◽  
Hyperspectral Images ◽  
Band Selection ◽  
Unsupervised Method

Hyperspectral images provide rich  spectral details of the observed scene by exploiting contiguous bands.But, the processing of such images becomes heavy, due to the high dimensionality.Thus, band selection is a practice that has been adopted before any further processing takes place.Therefore, in this paper, a new unsupervised method for band selection based on clustering and neural network is proposed. A comparison with six other band selection frameworks shows the strength of the proposed method.

scholarly journals Band selection for hyperspectral images using probabilistic memetic algorithm

2014 ◽  
Vol 20 (12) ◽  
pp. 4685-4693 ◽  
Author(s):  
Liang Feng ◽  
Ah-Hwee Tan ◽  
Meng-Hiot Lim ◽  
Si Wei Jiang
Keyword(s):  
Memetic Algorithm ◽  
Hyperspectral Images ◽  
Band Selection ◽  
Selection For
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