Hyperspectral image classification method based on multi-scale proximal feature concatenate network

Hyperspectral image classification method based on multi-scale proximal feature concatenate network

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Aiming at the phenomenon that the hyperspectral classification algorithm based on traditional CNN model was not expressive enough in detail and the network structure was too complex, a hyperspectral image classification method based on multi-scale proximal feature concatenate network (MPFCN) was des...

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Bibliographic Details
Main Authors: Hongmin GAO, Xueying CAO, Zhonghao CHEN, Zaijun HUA, Chenming LI, Yue CHEN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2021-02-01
Series:Tongxin xuebao
Subjects:
convolutional neural network;hyperspectral image classification;feature concatenate;multi-scale filter;di-lated convolution
Online Access:http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2021024

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http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2021024

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