Analysis of various optimizers on deep convolutional neural network model in the application of hyperspectral remote sensing image classification

Hyperspectral image (HSI) classification is a most challenging task in hyperspectral remote sensing field due to unique characteristics of HSI data. It consists of huge number of bands with strong correlations in the spectral and spatial domains. Moreover, limited training samples make it more chall...

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Vydáno v:	International journal of remote sensing Ročník 41; číslo 7; s. 2664 - 2683
Hlavní autoři:	Bera, Somenath, Shrivastava, Vimal K.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Taylor & Francis 02.04.2020 Taylor & Francis Ltd
Témata:	Artificial neural networks Classification data collection Detection Domains Feature extraction hyperspectral imagery Hyperspectral imaging Image classification Neural networks Remote sensing spatial data Training
ISSN:	0143-1161, 1366-5901, 1366-5901
On-line přístup:	Získat plný text
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