A hyperspectral image classification algorithm based on atrous convolution

A hyperspectral image classification algorithm based on atrous convolution

Abstract Hyperspectral images not only have high spectral dimension, but the spatial size of datasets containing such kind of images is also small. Aiming at this problem, we design the NG-APC (non-gridding multi-level concatenated Atrous Pyramid Convolution) module based on the combined atrous conv...

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Bibliographic Details
Main Authors: Xiaoqing Zhang, Yongguo Zheng, Weike Liu, Zhiyong Wang
Format: Article
Language:English
Published: SpringerOpen 2019-12-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Deep Convolutional Neural Networks
Hyperspectral image classification
Atrous Convolution
Gridding problem
Online Access:https://doi.org/10.1186/s13638-019-1594-y

Internet

https://doi.org/10.1186/s13638-019-1594-y

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