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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Bibliographic Details

Published in:	International journal of remote sensing Vol. 41; no. 7; pp. 2664 - 2683
Main Authors:	Bera, Somenath, Shrivastava, Vimal K.
Format:	Journal Article
Language:	English
Published:	London Taylor & Francis 02.04.2020 Taylor & Francis Ltd
Subjects:	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
Online Access:	Get full text
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