ODPA-CNN: One Dimensional Parallel Atrous Convolution Neural Network for Band-Selective Hyperspectral Image Classification

Recently, hyperspectral image (HSI) classification using deep learning has been actively studied using 2D and 3D convolution neural networks (CNN). However, they learn spatial information as well as spectral information. These methods can increase the accuracy of classification, but do not only focu...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Byungjin Kang, Inho Park, Changmin Ok, Sungho Kim
Format:	Article
Language:	English
Published:	MDPI AG 2021-12-01
Subjects:	1D-CNN hyperspectral image atrous-convolution classification random spatial hyperspectral image
Online Access:	https://www.mdpi.com/2076-3417/12/1/174