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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Egile Nagusiak:	Byungjin Kang, Inho Park, Changmin Ok, Sungho Kim
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2021-12-01
Saila:	Applied Sciences
Gaiak:	1D-CNN hyperspectral image atrous-convolution classification random spatial hyperspectral image
Sarrera elektronikoa:	https://www.mdpi.com/2076-3417/12/1/174
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