Application of bilateral fusion model based on CNN in hyperspectral image classification

Application of bilateral fusion model based on CNN in hyperspectral image classification

Aiming at the issues of decreasing spatial resolution and feature loss caused by pooling operation in depth CNN-based hyperspectral image classification algorithm,a bilateral fusion block network （DFBN）composed of bilateral fusion blocks was designed.The upper structure of bilateral fusion block was...

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Bibliographic Details
Main Authors: Hongmin GAO, Xueying CAO, Yao YANG, Zaijun HUA, Chenming LI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2020-11-01
Series:Tongxin xuebao
Subjects:
convolutional neural network
hyperspectral images classification
transpose-convolution
upsampling,hyperlink
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020238/
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